Master-Project/Notebooks/32_gaussiandome_prbs.ipynb
2021-07-30 16:21:14 +02:00

2879 lines
770 KiB
Text

{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"from pathlib import Path\n",
"from shutil import copyfile\n",
"import pickle"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Data manipulation"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"import pandas as pd"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Plotting / Visualisation"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"%matplotlib inline\n",
"plt.rcParams[\"figure.figsize\"] = (15, 6)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Gaussian Process Regression"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"import gpflow\n",
"import tensorflow as tf"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"from gpflow.utilities import print_summary"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"gpflow.config.set_default_summary_fmt(\"notebook\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"MATLAB engine"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"import matlab.engine"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"eng = matlab.engine.start_matlab()"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"<matlab.engine.futureresult.FutureResult at 0x7f678db02790>"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"eng.load_system(\"../Simulink/polydome\", background = True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Load weather data"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Sample time (in seconds) of the resulting Gaussian Process"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"Tsample = 15*60"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Which experimental set to simulate:"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"exp_id = 'Exp2'"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Copy the corresponding WDB to the model input location:"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'../Data/input_WDB.mat'"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"copyfile(f\"../Data/Experimental_data_WDB/{exp_id}_WDB.mat\", \"../Data/input_WDB.mat\")"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
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" <th>zenith</th>\n",
" <th>azimuth</th>\n",
" <th>dni</th>\n",
" <th>dhi</th>\n",
" <th>OutsideTemp</th>\n",
" <th>Tsky_rad</th>\n",
" <th>relative_humidity</th>\n",
" <th>precipitation</th>\n",
" <th>cloud_index</th>\n",
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" <th>4</th>\n",
" <td>1200</td>\n",
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"text/plain": [
" time timestamp zenith azimuth dni dhi \\\n",
"0 0 201706101600 37.637775 244.184376 778.389320 153.014998 \n",
"1 300 201706101605 38.415872 245.558388 779.663530 151.020217 \n",
"2 600 201706101610 39.202383 246.896456 776.559233 150.272165 \n",
"3 900 201706101615 39.996665 248.200516 767.177588 151.349615 \n",
"4 1200 201706101620 40.798119 249.472420 762.559533 150.949974 \n",
"\n",
" OutsideTemp Tsky_rad relative_humidity precipitation cloud_index \\\n",
"0 24.0 18.0 50 -9999 0.5 \n",
"1 24.0 18.0 50 -9999 0.5 \n",
"2 24.0 18.0 50 -9999 0.5 \n",
"3 24.0 18.0 50 -9999 0.5 \n",
"4 24.0 18.0 50 -9999 0.5 \n",
"\n",
" pressure wind_speed wind_direction aoi incidence_main \\\n",
"0 96300 0 -9999 37.637775 -9999 \n",
"1 96300 0 -9999 38.415872 -9999 \n",
"2 96300 0 -9999 39.202383 -9999 \n",
"3 96300 0 -9999 39.996665 -9999 \n",
"4 96300 0 -9999 40.798119 -9999 \n",
"\n",
" incidence_second poa_direct poa_diffuse \n",
"0 -9999 616.396540 153.014998 \n",
"1 -9999 610.883028 151.020217 \n",
"2 -9999 601.769888 150.272165 \n",
"3 -9999 587.720827 151.349615 \n",
"4 -9999 577.270157 150.949974 "
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_wdb = pd.read_pickle(f\"../Data/Experimental_python/{exp_id}_WDB.pkl\")\n",
"df_wdb.head()"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Power</th>\n",
" <th>Setpoint</th>\n",
" <th>OutsideTemp</th>\n",
" <th>SupplyTemp</th>\n",
" <th>InsideTemp</th>\n",
" <th>SolRad</th>\n",
" <th>time_h</th>\n",
" <th>time_m</th>\n",
" <th>time</th>\n",
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" <th>2017-06-10 16:00:00+02:00</th>\n",
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],
"text/plain": [
" Power Setpoint OutsideTemp SupplyTemp \\\n",
"timestamp \n",
"2017-06-10 16:00:00+02:00 5039.718391 20.500000 24.0 13.2 \n",
"2017-06-10 16:15:00+02:00 4563.979693 21.166667 24.0 13.4 \n",
"2017-06-10 16:30:00+02:00 4560.348659 21.500000 24.0 13.4 \n",
"2017-06-10 16:45:00+02:00 4535.043678 21.500000 24.0 13.4 \n",
"2017-06-10 17:00:00+02:00 4565.321839 21.500000 24.0 13.4 \n",
"\n",
" InsideTemp SolRad time_h time_m time \n",
"timestamp \n",
"2017-06-10 16:00:00+02:00 22.727778 761.015733 16 0 0 \n",
"2017-06-10 16:15:00+02:00 22.650000 729.086933 16 15 900 \n",
"2017-06-10 16:30:00+02:00 22.622222 699.066333 16 30 1800 \n",
"2017-06-10 16:45:00+02:00 22.622222 664.059456 16 45 2700 \n",
"2017-06-10 17:00:00+02:00 22.483333 630.548933 17 0 3600 "
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = pd.read_pickle(f\"../Data/Experimental_python/{exp_id}_data.pkl\")\n",
"# Resample the experimental measurements\n",
"df = df.resample(f\"{Tsample}s\").mean()\n",
"df['time_h'] = df.index.hour\n",
"df['time_m'] = df.index.minute\n",
"\n",
"df.loc[:,'time'] = [0] + (df.index[1:] - df.index[:-1]).seconds.to_list()\n",
"df.loc[:, 'time'] = df.loc[:, 'time'].cumsum()\n",
"\n",
"df.head()"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [],
"source": [
"def load_weather_data(exp_id):\n",
" copyfile(f\"../Data/Experimental_data_WDB/{exp_id}_WDB.mat\", \"../Data/input_WDB.mat\")\n",
" df_wdb = pd.read_pickle(f\"../Data/Experimental_python/{exp_id}_WDB.pkl\")\n",
" \n",
" df = pd.read_pickle(f\"../Data/Experimental_python/{exp_id}_data.pkl\")\n",
" # Resample the experimental measurements\n",
" df = df.resample(f\"{Tsample}s\").mean()\n",
" \n",
" df['time_h'] = df.index.hour\n",
" df['time_m'] = df.index.minute\n",
" \n",
" df.loc[:,'time'] = [0] + (df.index[1:] - df.index[:-1]).seconds.to_list()\n",
" df.loc[:, 'time'] = df.loc[:, 'time'].cumsum()\n",
"\n",
" return df_wdb, df"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Experiment runtime: 136500\n"
]
}
],
"source": [
"runtime = df_wdb['time'].iloc[-1]\n",
"print(f\"Experiment runtime: {runtime}\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Simulink"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Set the CARNOT simulation initial temperature `t0`"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [],
"source": [
"eng.workspace['t0'] = float(23)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Set the CARNOT simulation air exchange rate"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [],
"source": [
"np_air = np.zeros([df_wdb.shape[0], 2])\n",
"np_air[:, 0] = df_wdb['time']\n",
"np_air[:, 1] = 2.75"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [],
"source": [
"eng.workspace['air_exchange_rate'] = matlab.double(np_air.tolist())"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Generate Heat Random Input Signal"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [],
"source": [
"Pel_max = 6300\n",
"COP_heating = 5.0\n",
"COP_cooling = 5.0"
]
},
{
"cell_type": "markdown",
"metadata": {
"tags": []
},
"source": [
"Define a function for generating random signals:"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"def get_random_signal(nstep, a_range = (-1, 1), b_range = (2, 10), signal_type = 'analog'):\n",
"\n",
" a = np.random.rand(nstep) * (a_range[1]-a_range[0]) + a_range[0] # range for amplitude\n",
" b = np.random.rand(nstep) *(b_range[1]-b_range[0]) + b_range[0] # range for frequency\n",
" b = np.round(b)\n",
" b = b.astype(int)\n",
"\n",
" b[0] = 0\n",
"\n",
" for i in range(1,np.size(b)):\n",
" b[i] = b[i-1]+b[i]\n",
" \n",
" if signal_type == 'analog':\n",
" random_signal = np.zeros(nstep)\n",
" # Random Signal\n",
" i=0\n",
" random_signal = np.zeros(nstep)\n",
" while b[i]<np.size(random_signal):\n",
" k = b[i]\n",
" random_signal[k:] = a[i]\n",
" i=i+1\n",
" return random_signal\n",
" elif signal_type == 'prbs':\n",
" \n",
" # PRBS\n",
" a = np.zeros(nstep)\n",
" j = 0\n",
" while j < nstep:\n",
" a[j] = a_range[1]\n",
" a[j+1] = a_range[0]\n",
" j = j+2\n",
"\n",
" i=0\n",
" prbs = np.zeros(nstep)\n",
" while b[i]<np.size(prbs):\n",
" k = b[i]\n",
" prbs[k:] = a[i]\n",
" i=i+1\n",
" \n",
" return prbs\n",
" else:\n",
" raise ValueError(signal_type)"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"len_signal = len(df)\n",
"\n",
"random_signal = get_random_signal(len_signal, a_range = (- COP_cooling * Pel_max, COP_heating * Pel_max), signal_type = 'analog')\n",
"prbs = get_random_signal(len_signal, a_range = (0, 5), signal_type = 'prbs')"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<Figure size 1080x432 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.figure() \n",
"plt.subplot(2,1,1)\n",
"plt.plot(random_signal, drawstyle='steps',label='Random Signal')\n",
"plt.legend()\n",
"plt.subplot(2,1,2)\n",
"plt.plot(prbs, drawstyle='steps', label='PRBS')\n",
"plt.legend()\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [],
"source": [
"power = np.array([df['time'], random_signal]).T"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [],
"source": [
"eng.workspace['power'] = matlab.double(power.tolist())"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Set the simulation parameters and run it"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [],
"source": [
"eng.set_param('polydome', 'StopTime', str(runtime), nargout = 0)"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [],
"source": [
"eng.workspace['result'] = eng.sim('polydome')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Interpret the simulation results"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [],
"source": [
"def carnot_to_series(eng, start_timestamp):\n",
"\n",
" # Compile the simulation dict\n",
" dict_simulation = {}\n",
" dict_simulation['SimulatedTemp'] = np.asarray(eng.eval('result.SimulatedTemp.Data')).reshape(-1)\n",
" dict_simulation['time'] = np.asarray(eng.eval('result.SimulatedTemp.Time')).reshape(-1)\n",
" \n",
" # Create the dataframe from dict\n",
" df_simulation = pd.DataFrame(dict_simulation)\n",
" df_simulation.set_index('time', inplace = True, drop = True)\n",
" \n",
" # Define the timestamps and set it as index\n",
" df_simulation['timestamp'] = start_timestamp + df_simulation.index.map(lambda x: pd.Timedelta(seconds = x))\n",
" df_simulation = df_simulation.reset_index().set_index('timestamp')\n",
" \n",
" # Resample the dataframe to 5 min intervals\n",
" # Taking the mean when there are multiple points, padding with zero order when data is missing\n",
" df_simulation = df_simulation['SimulatedTemp'].resample(f'{Tsample}s').mean().pad()\n",
" \n",
" return df_simulation"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [],
"source": [
"df_simulation = carnot_to_series(eng, df.index[0])"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [],
"source": [
"df.loc[:,'SimulatedTemp'] = df_simulation\n",
"df.loc[:,'SimulatedHeat'] = power[:, 1]"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1080x432 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.figure() \n",
"plt.subplot(2,1,1)\n",
"plt.plot(df['SimulatedTemp'], label = 'Simulated Temperature')\n",
"plt.plot(df['OutsideTemp'], '-.', label = 'Outside Temperature')\n",
"plt.title('Temperatures')\n",
"plt.legend()\n",
"plt.subplot(2,1,2)\n",
"plt.plot(df['SimulatedHeat'], drawstyle = 'steps', label = 'Heat Input')\n",
"plt.title('Heat Input')\n",
"plt.legend()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Export the resampled data-set for further use"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [],
"source": [
"df_simulation.to_pickle(f\"../Data/CARNOT_output/{exp_id}_prbs_simulation_df.pkl\")"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [],
"source": [
"def simulate_carnot(df_wdb, df, power_signal):\n",
" \n",
" try:\n",
" power = np.array([df['time'], power_signal]).T\n",
" except:\n",
" import pdb; pdb.set_trace()\n",
" pass\n",
" runtime = df_wdb['time'].iloc[-1]\n",
" \n",
" eng.workspace['power'] = matlab.double(power.tolist())\n",
" eng.set_param('polydome', 'StopTime', str(runtime), nargout = 0)\n",
" eng.workspace['result'] = eng.sim('polydome')\n",
" df_simulation = carnot_to_series(eng, df.index[0])\n",
" \n",
" return df_simulation"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [],
"source": [
"train_exps = ['Exp1', 'Exp3', 'Exp5', 'Exp6']\n",
"test_exps = ['Exp2', 'Exp4', 'Exp7']"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {},
"outputs": [],
"source": [
"t_cols = ['time_h', 'time_m']\n",
"w_cols = ['SolRad', 'OutsideTemp']\n",
"u_cols = ['SimulatedHeat']\n",
"y_cols = ['SimulatedTemp']"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {},
"outputs": [],
"source": [
"t_lags = 3\n",
"w_lags = 1\n",
"u_lags = 1\n",
"y_lags = 3"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {},
"outputs": [],
"source": [
"dict_cols = {\n",
" 't': (t_lags, t_cols),\n",
" 'w': (w_lags, w_cols),\n",
" 'u': (u_lags, u_cols),\n",
" 'y': (y_lags, y_cols)\n",
"}"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [],
"source": [
"dfs_train = []\n",
"dfs_test = []\n",
"\n",
"for exp in train_exps:\n",
" df_wdb, df = load_weather_data(exp)\n",
"\n",
" len_signal = len(df)\n",
" rnd_power = get_random_signal(\n",
" len_signal,\n",
" a_range = (- COP_cooling * Pel_max, COP_heating * Pel_max),\n",
" signal_type = 'analog'\n",
" )\n",
"\n",
" df_sim = simulate_carnot(df_wdb, df, rnd_power)\n",
" df.loc[:, 'SimulatedHeat'] = rnd_power\n",
" df.loc[:, 'SimulatedTemp'] = df_sim\n",
" \n",
" dfs_train.append(df)\n",
"\n",
"for exp in test_exps:\n",
" df_wdb, df = load_weather_data(exp)\n",
"\n",
" len_signal = len(df)\n",
" rnd_power = get_random_signal(\n",
" len_signal,\n",
" a_range = (- COP_cooling * Pel_max, COP_heating * Pel_max),\n",
" signal_type = 'analog'\n",
" )\n",
"\n",
" df_sim = simulate_carnot(df_wdb, df, rnd_power)\n",
" df.loc[:, 'SimulatedHeat'] = rnd_power\n",
" df.loc[:, 'SimulatedTemp'] = df_sim\n",
" \n",
" dfs_test.append(df)"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {},
"outputs": [],
"source": [
"pickle.dump(dict_cols, open(Path(\"dict_cols.pkl\"), 'wb'))\n",
"pickle.dump(dfs_train, open(Path(\"dfs_train.pkl\"), 'wb'))\n",
"pickle.dump(dfs_test, open(Path(\"dfs_test.pkl\"), 'wb'))"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<AxesSubplot:xlabel='timestamp'>"
]
},
"execution_count": 41,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1080x432 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"dfs_train[0][['SimulatedTemp']].plot()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Trim and scale the input data"
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {},
"outputs": [],
"source": [
"from sklearn.preprocessing import MinMaxScaler, RobustScaler\n",
"from sklearn.exceptions import NotFittedError"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {},
"outputs": [],
"source": [
"scaler = MinMaxScaler(feature_range = (-1, 1))\n",
"#scaler = RobustScaler()"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {},
"outputs": [],
"source": [
"def get_scaled_df(df, dict_cols, scaler):\n",
" \n",
" t_list = dict_cols['t'][1]\n",
" w_list = dict_cols['w'][1]\n",
" u_list = dict_cols['u'][1]\n",
" y_list = dict_cols['y'][1]\n",
" \n",
" df_local = df[t_list + w_list + u_list + y_list]\n",
" df_scaled = df_local.to_numpy()\n",
" \n",
" try:\n",
" df_scaled = scaler.transform(df_scaled)\n",
" except NotFittedError:\n",
" df_scaled = scaler.fit_transform(df_scaled)\n",
" \n",
" df_scaled = pd.DataFrame(df_scaled, index = df_local.index, columns = df_local.columns)\n",
" \n",
" return df_scaled"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {},
"outputs": [],
"source": [
"df_train = pd.concat(dfs_train)"
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"279119.2189692174"
]
},
"execution_count": 46,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"np.linalg.cond(df_train.to_numpy())"
]
},
{
"cell_type": "code",
"execution_count": 47,
"metadata": {},
"outputs": [],
"source": [
"df_train_sc = get_scaled_df(df_train, dict_cols, scaler)"
]
},
{
"cell_type": "code",
"execution_count": 48,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"4.58816888677789"
]
},
"execution_count": 48,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"np.linalg.cond(df_train_sc.to_numpy())"
]
},
{
"cell_type": "code",
"execution_count": 49,
"metadata": {},
"outputs": [],
"source": [
"dfs_train_sc = []\n",
"dfs_test_sc = []\n",
"for df in dfs_train:\n",
" df_sc = get_scaled_df(df, dict_cols, scaler)\n",
" dfs_train_sc.append(df_sc)\n",
" \n",
"for df in dfs_test:\n",
" df_sc = get_scaled_df(df, dict_cols, scaler)\n",
" dfs_test_sc.append(df_sc)"
]
},
{
"cell_type": "code",
"execution_count": 50,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/usr/lib/python3.9/site-packages/pandas/plotting/_matplotlib/tools.py:400: MatplotlibDeprecationWarning: \n",
"The is_first_col function was deprecated in Matplotlib 3.4 and will be removed two minor releases later. Use ax.get_subplotspec().is_first_col() instead.\n",
" if ax.is_first_col():\n"
]
},
{
"data": {
"text/plain": [
"array([[<AxesSubplot:title={'center':'time_h'}>,\n",
" <AxesSubplot:title={'center':'time_m'}>],\n",
" [<AxesSubplot:title={'center':'SolRad'}>,\n",
" <AxesSubplot:title={'center':'OutsideTemp'}>],\n",
" [<AxesSubplot:title={'center':'SimulatedHeat'}>,\n",
" <AxesSubplot:title={'center':'SimulatedTemp'}>]], dtype=object)"
]
},
"execution_count": 50,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1080x432 with 6 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"dfs_train_sc[0].hist()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Gaussian Process Regression"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Compile training set"
]
},
{
"cell_type": "code",
"execution_count": 51,
"metadata": {},
"outputs": [],
"source": [
"def data_to_gpr(df, dict_cols):\n",
" \n",
" t_list = dict_cols['t'][1]\n",
" w_list = dict_cols['w'][1]\n",
" u_list = dict_cols['u'][1]\n",
" y_list = dict_cols['y'][1]\n",
" \n",
" df_gpr = df[t_list + w_list + u_list + y_list].copy()\n",
" \n",
" for lags, names in dict_cols.values():\n",
" for name in names:\n",
" col_idx = df_gpr.columns.get_loc(name)\n",
" for lag in range(1, lags + 1):\n",
" df_gpr.insert(col_idx + lag, f\"{name}_{lag}\", df_gpr.loc[:, name].shift(lag))\n",
"\n",
" df_gpr.dropna(inplace = True)\n",
" \n",
" return df_gpr"
]
},
{
"cell_type": "code",
"execution_count": 52,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>time_h</th>\n",
" <th>time_h_1</th>\n",
" <th>time_h_2</th>\n",
" <th>time_h_3</th>\n",
" <th>time_m</th>\n",
" <th>time_m_1</th>\n",
" <th>time_m_2</th>\n",
" <th>time_m_3</th>\n",
" <th>SolRad</th>\n",
" <th>SolRad_1</th>\n",
" <th>OutsideTemp</th>\n",
" <th>OutsideTemp_1</th>\n",
" <th>SimulatedHeat</th>\n",
" <th>SimulatedHeat_1</th>\n",
" <th>SimulatedTemp</th>\n",
" <th>SimulatedTemp_1</th>\n",
" <th>SimulatedTemp_2</th>\n",
" <th>SimulatedTemp_3</th>\n",
" </tr>\n",
" <tr>\n",
" <th>timestamp</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2017-06-01 20:45:00+02:00</th>\n",
" <td>0.739130</td>\n",
" <td>0.739130</td>\n",
" <td>0.739130</td>\n",
" <td>0.739130</td>\n",
" <td>1.000000</td>\n",
" <td>0.333333</td>\n",
" <td>-0.333333</td>\n",
" <td>-1.000000</td>\n",
" <td>-0.970807</td>\n",
" <td>-0.925970</td>\n",
" <td>0.058824</td>\n",
" <td>0.058824</td>\n",
" <td>0.438090</td>\n",
" <td>0.438090</td>\n",
" <td>0.248081</td>\n",
" <td>0.233535</td>\n",
" <td>0.214339</td>\n",
" <td>0.153839</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-06-01 21:00:00+02:00</th>\n",
" <td>0.826087</td>\n",
" <td>0.739130</td>\n",
" <td>0.739130</td>\n",
" <td>0.739130</td>\n",
" <td>-1.000000</td>\n",
" <td>1.000000</td>\n",
" <td>0.333333</td>\n",
" <td>-0.333333</td>\n",
" <td>-0.980063</td>\n",
" <td>-0.970807</td>\n",
" <td>0.019608</td>\n",
" <td>0.058824</td>\n",
" <td>0.438090</td>\n",
" <td>0.438090</td>\n",
" <td>0.216876</td>\n",
" <td>0.248081</td>\n",
" <td>0.233535</td>\n",
" <td>0.214339</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-06-01 21:15:00+02:00</th>\n",
" <td>0.826087</td>\n",
" <td>0.826087</td>\n",
" <td>0.739130</td>\n",
" <td>0.739130</td>\n",
" <td>-0.333333</td>\n",
" <td>-1.000000</td>\n",
" <td>1.000000</td>\n",
" <td>0.333333</td>\n",
" <td>-0.989906</td>\n",
" <td>-0.980063</td>\n",
" <td>-0.058824</td>\n",
" <td>0.019608</td>\n",
" <td>-0.470064</td>\n",
" <td>0.438090</td>\n",
" <td>0.062767</td>\n",
" <td>0.216876</td>\n",
" <td>0.248081</td>\n",
" <td>0.233535</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-06-01 21:30:00+02:00</th>\n",
" <td>0.826087</td>\n",
" <td>0.826087</td>\n",
" <td>0.826087</td>\n",
" <td>0.739130</td>\n",
" <td>0.333333</td>\n",
" <td>-0.333333</td>\n",
" <td>-1.000000</td>\n",
" <td>1.000000</td>\n",
" <td>-0.991909</td>\n",
" <td>-0.989906</td>\n",
" <td>-0.058824</td>\n",
" <td>-0.058824</td>\n",
" <td>-0.470064</td>\n",
" <td>-0.470064</td>\n",
" <td>0.091034</td>\n",
" <td>0.062767</td>\n",
" <td>0.216876</td>\n",
" <td>0.248081</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-06-01 21:45:00+02:00</th>\n",
" <td>0.826087</td>\n",
" <td>0.826087</td>\n",
" <td>0.826087</td>\n",
" <td>0.826087</td>\n",
" <td>1.000000</td>\n",
" <td>0.333333</td>\n",
" <td>-0.333333</td>\n",
" <td>-1.000000</td>\n",
" <td>-0.992483</td>\n",
" <td>-0.991909</td>\n",
" <td>-0.058824</td>\n",
" <td>-0.058824</td>\n",
" <td>0.577419</td>\n",
" <td>-0.470064</td>\n",
" <td>0.203306</td>\n",
" <td>0.091034</td>\n",
" <td>0.062767</td>\n",
" <td>0.216876</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" time_h time_h_1 time_h_2 time_h_3 time_m \\\n",
"timestamp \n",
"2017-06-01 20:45:00+02:00 0.739130 0.739130 0.739130 0.739130 1.000000 \n",
"2017-06-01 21:00:00+02:00 0.826087 0.739130 0.739130 0.739130 -1.000000 \n",
"2017-06-01 21:15:00+02:00 0.826087 0.826087 0.739130 0.739130 -0.333333 \n",
"2017-06-01 21:30:00+02:00 0.826087 0.826087 0.826087 0.739130 0.333333 \n",
"2017-06-01 21:45:00+02:00 0.826087 0.826087 0.826087 0.826087 1.000000 \n",
"\n",
" time_m_1 time_m_2 time_m_3 SolRad SolRad_1 \\\n",
"timestamp \n",
"2017-06-01 20:45:00+02:00 0.333333 -0.333333 -1.000000 -0.970807 -0.925970 \n",
"2017-06-01 21:00:00+02:00 1.000000 0.333333 -0.333333 -0.980063 -0.970807 \n",
"2017-06-01 21:15:00+02:00 -1.000000 1.000000 0.333333 -0.989906 -0.980063 \n",
"2017-06-01 21:30:00+02:00 -0.333333 -1.000000 1.000000 -0.991909 -0.989906 \n",
"2017-06-01 21:45:00+02:00 0.333333 -0.333333 -1.000000 -0.992483 -0.991909 \n",
"\n",
" OutsideTemp OutsideTemp_1 SimulatedHeat \\\n",
"timestamp \n",
"2017-06-01 20:45:00+02:00 0.058824 0.058824 0.438090 \n",
"2017-06-01 21:00:00+02:00 0.019608 0.058824 0.438090 \n",
"2017-06-01 21:15:00+02:00 -0.058824 0.019608 -0.470064 \n",
"2017-06-01 21:30:00+02:00 -0.058824 -0.058824 -0.470064 \n",
"2017-06-01 21:45:00+02:00 -0.058824 -0.058824 0.577419 \n",
"\n",
" SimulatedHeat_1 SimulatedTemp SimulatedTemp_1 \\\n",
"timestamp \n",
"2017-06-01 20:45:00+02:00 0.438090 0.248081 0.233535 \n",
"2017-06-01 21:00:00+02:00 0.438090 0.216876 0.248081 \n",
"2017-06-01 21:15:00+02:00 0.438090 0.062767 0.216876 \n",
"2017-06-01 21:30:00+02:00 -0.470064 0.091034 0.062767 \n",
"2017-06-01 21:45:00+02:00 -0.470064 0.203306 0.091034 \n",
"\n",
" SimulatedTemp_2 SimulatedTemp_3 \n",
"timestamp \n",
"2017-06-01 20:45:00+02:00 0.214339 0.153839 \n",
"2017-06-01 21:00:00+02:00 0.233535 0.214339 \n",
"2017-06-01 21:15:00+02:00 0.248081 0.233535 \n",
"2017-06-01 21:30:00+02:00 0.216876 0.248081 \n",
"2017-06-01 21:45:00+02:00 0.062767 0.216876 "
]
},
"execution_count": 52,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dfs_gpr_train = []\n",
"for df_sc in dfs_train_sc:\n",
" dfs_gpr_train.append(data_to_gpr(df_sc, dict_cols))\n",
"df_gpr_train = pd.concat(dfs_gpr_train)\n",
"df_gpr_train.head()"
]
},
{
"cell_type": "code",
"execution_count": 53,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"1696122339350262.8"
]
},
"execution_count": 53,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"np.linalg.cond(\n",
" df_gpr_train.to_numpy()\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 54,
"metadata": {},
"outputs": [],
"source": [
"def get_timestamps(start_timestamp, time_delta, n_steps):\n",
"\n",
" # Define the timestamps and set it as index\n",
" timestamps = np.linspace(0, (n_steps-1)*time_delta, n_steps)\n",
" timestamps = start_timestamp + pd.Series(timestamps).map(lambda x: pd.Timedelta(seconds = x))\n",
" \n",
" return timestamps"
]
},
{
"cell_type": "code",
"execution_count": 55,
"metadata": {},
"outputs": [],
"source": [
"df_gpr_train.to_pickle(\"df_gpr_train.pkl\")"
]
},
{
"cell_type": "code",
"execution_count": 56,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/usr/lib/python3.9/site-packages/pandas/plotting/_matplotlib/tools.py:400: MatplotlibDeprecationWarning: \n",
"The is_first_col function was deprecated in Matplotlib 3.4 and will be removed two minor releases later. Use ax.get_subplotspec().is_first_col() instead.\n",
" if ax.is_first_col():\n"
]
},
{
"data": {
"text/plain": [
"array([[<AxesSubplot:title={'center':'time_h'}>,\n",
" <AxesSubplot:title={'center':'time_h_1'}>,\n",
" <AxesSubplot:title={'center':'time_h_2'}>,\n",
" <AxesSubplot:title={'center':'time_h_3'}>],\n",
" [<AxesSubplot:title={'center':'time_m'}>,\n",
" <AxesSubplot:title={'center':'time_m_1'}>,\n",
" <AxesSubplot:title={'center':'time_m_2'}>,\n",
" <AxesSubplot:title={'center':'time_m_3'}>],\n",
" [<AxesSubplot:title={'center':'SolRad'}>,\n",
" <AxesSubplot:title={'center':'SolRad_1'}>,\n",
" <AxesSubplot:title={'center':'OutsideTemp'}>,\n",
" <AxesSubplot:title={'center':'OutsideTemp_1'}>],\n",
" [<AxesSubplot:title={'center':'SimulatedHeat'}>,\n",
" <AxesSubplot:title={'center':'SimulatedHeat_1'}>,\n",
" <AxesSubplot:title={'center':'SimulatedTemp'}>,\n",
" <AxesSubplot:title={'center':'SimulatedTemp_1'}>],\n",
" [<AxesSubplot:title={'center':'SimulatedTemp_2'}>,\n",
" <AxesSubplot:title={'center':'SimulatedTemp_3'}>, <AxesSubplot:>,\n",
" <AxesSubplot:>]], dtype=object)"
]
},
"execution_count": 56,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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\n",
"text/plain": [
"<Figure size 1080x432 with 20 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"df_gpr_train.hist()"
]
},
{
"cell_type": "code",
"execution_count": 57,
"metadata": {},
"outputs": [],
"source": [
"df_input_train = df_gpr_train.drop(columns = dict_cols['u'][1] + dict_cols['y'][1])\n",
"df_output_train = df_gpr_train[dict_cols['y'][1]]"
]
},
{
"cell_type": "code",
"execution_count": 58,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>time_h</th>\n",
" <th>time_h_1</th>\n",
" <th>time_h_2</th>\n",
" <th>time_h_3</th>\n",
" <th>time_m</th>\n",
" <th>time_m_1</th>\n",
" <th>time_m_2</th>\n",
" <th>time_m_3</th>\n",
" <th>SolRad</th>\n",
" <th>SolRad_1</th>\n",
" <th>OutsideTemp</th>\n",
" <th>OutsideTemp_1</th>\n",
" <th>SimulatedHeat_1</th>\n",
" <th>SimulatedTemp_1</th>\n",
" <th>SimulatedTemp_2</th>\n",
" <th>SimulatedTemp_3</th>\n",
" </tr>\n",
" <tr>\n",
" <th>timestamp</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2017-06-01 20:45:00+02:00</th>\n",
" <td>0.739130</td>\n",
" <td>0.739130</td>\n",
" <td>0.739130</td>\n",
" <td>0.739130</td>\n",
" <td>1.000000</td>\n",
" <td>0.333333</td>\n",
" <td>-0.333333</td>\n",
" <td>-1.000000</td>\n",
" <td>-0.970807</td>\n",
" <td>-0.925970</td>\n",
" <td>0.058824</td>\n",
" <td>0.058824</td>\n",
" <td>0.438090</td>\n",
" <td>0.233535</td>\n",
" <td>0.214339</td>\n",
" <td>0.153839</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-06-01 21:00:00+02:00</th>\n",
" <td>0.826087</td>\n",
" <td>0.739130</td>\n",
" <td>0.739130</td>\n",
" <td>0.739130</td>\n",
" <td>-1.000000</td>\n",
" <td>1.000000</td>\n",
" <td>0.333333</td>\n",
" <td>-0.333333</td>\n",
" <td>-0.980063</td>\n",
" <td>-0.970807</td>\n",
" <td>0.019608</td>\n",
" <td>0.058824</td>\n",
" <td>0.438090</td>\n",
" <td>0.248081</td>\n",
" <td>0.233535</td>\n",
" <td>0.214339</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-06-01 21:15:00+02:00</th>\n",
" <td>0.826087</td>\n",
" <td>0.826087</td>\n",
" <td>0.739130</td>\n",
" <td>0.739130</td>\n",
" <td>-0.333333</td>\n",
" <td>-1.000000</td>\n",
" <td>1.000000</td>\n",
" <td>0.333333</td>\n",
" <td>-0.989906</td>\n",
" <td>-0.980063</td>\n",
" <td>-0.058824</td>\n",
" <td>0.019608</td>\n",
" <td>0.438090</td>\n",
" <td>0.216876</td>\n",
" <td>0.248081</td>\n",
" <td>0.233535</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-06-01 21:30:00+02:00</th>\n",
" <td>0.826087</td>\n",
" <td>0.826087</td>\n",
" <td>0.826087</td>\n",
" <td>0.739130</td>\n",
" <td>0.333333</td>\n",
" <td>-0.333333</td>\n",
" <td>-1.000000</td>\n",
" <td>1.000000</td>\n",
" <td>-0.991909</td>\n",
" <td>-0.989906</td>\n",
" <td>-0.058824</td>\n",
" <td>-0.058824</td>\n",
" <td>-0.470064</td>\n",
" <td>0.062767</td>\n",
" <td>0.216876</td>\n",
" <td>0.248081</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-06-01 21:45:00+02:00</th>\n",
" <td>0.826087</td>\n",
" <td>0.826087</td>\n",
" <td>0.826087</td>\n",
" <td>0.826087</td>\n",
" <td>1.000000</td>\n",
" <td>0.333333</td>\n",
" <td>-0.333333</td>\n",
" <td>-1.000000</td>\n",
" <td>-0.992483</td>\n",
" <td>-0.991909</td>\n",
" <td>-0.058824</td>\n",
" <td>-0.058824</td>\n",
" <td>-0.470064</td>\n",
" <td>0.091034</td>\n",
" <td>0.062767</td>\n",
" <td>0.216876</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" time_h time_h_1 time_h_2 time_h_3 time_m \\\n",
"timestamp \n",
"2017-06-01 20:45:00+02:00 0.739130 0.739130 0.739130 0.739130 1.000000 \n",
"2017-06-01 21:00:00+02:00 0.826087 0.739130 0.739130 0.739130 -1.000000 \n",
"2017-06-01 21:15:00+02:00 0.826087 0.826087 0.739130 0.739130 -0.333333 \n",
"2017-06-01 21:30:00+02:00 0.826087 0.826087 0.826087 0.739130 0.333333 \n",
"2017-06-01 21:45:00+02:00 0.826087 0.826087 0.826087 0.826087 1.000000 \n",
"\n",
" time_m_1 time_m_2 time_m_3 SolRad SolRad_1 \\\n",
"timestamp \n",
"2017-06-01 20:45:00+02:00 0.333333 -0.333333 -1.000000 -0.970807 -0.925970 \n",
"2017-06-01 21:00:00+02:00 1.000000 0.333333 -0.333333 -0.980063 -0.970807 \n",
"2017-06-01 21:15:00+02:00 -1.000000 1.000000 0.333333 -0.989906 -0.980063 \n",
"2017-06-01 21:30:00+02:00 -0.333333 -1.000000 1.000000 -0.991909 -0.989906 \n",
"2017-06-01 21:45:00+02:00 0.333333 -0.333333 -1.000000 -0.992483 -0.991909 \n",
"\n",
" OutsideTemp OutsideTemp_1 SimulatedHeat_1 \\\n",
"timestamp \n",
"2017-06-01 20:45:00+02:00 0.058824 0.058824 0.438090 \n",
"2017-06-01 21:00:00+02:00 0.019608 0.058824 0.438090 \n",
"2017-06-01 21:15:00+02:00 -0.058824 0.019608 0.438090 \n",
"2017-06-01 21:30:00+02:00 -0.058824 -0.058824 -0.470064 \n",
"2017-06-01 21:45:00+02:00 -0.058824 -0.058824 -0.470064 \n",
"\n",
" SimulatedTemp_1 SimulatedTemp_2 SimulatedTemp_3 \n",
"timestamp \n",
"2017-06-01 20:45:00+02:00 0.233535 0.214339 0.153839 \n",
"2017-06-01 21:00:00+02:00 0.248081 0.233535 0.214339 \n",
"2017-06-01 21:15:00+02:00 0.216876 0.248081 0.233535 \n",
"2017-06-01 21:30:00+02:00 0.062767 0.216876 0.248081 \n",
"2017-06-01 21:45:00+02:00 0.091034 0.062767 0.216876 "
]
},
"execution_count": 58,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_input_train.head()"
]
},
{
"cell_type": "code",
"execution_count": 59,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>SimulatedTemp</th>\n",
" </tr>\n",
" <tr>\n",
" <th>timestamp</th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2017-06-01 20:45:00+02:00</th>\n",
" <td>0.248081</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-06-01 21:00:00+02:00</th>\n",
" <td>0.216876</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-06-01 21:15:00+02:00</th>\n",
" <td>0.062767</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-06-01 21:30:00+02:00</th>\n",
" <td>0.091034</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-06-01 21:45:00+02:00</th>\n",
" <td>0.203306</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" SimulatedTemp\n",
"timestamp \n",
"2017-06-01 20:45:00+02:00 0.248081\n",
"2017-06-01 21:00:00+02:00 0.216876\n",
"2017-06-01 21:15:00+02:00 0.062767\n",
"2017-06-01 21:30:00+02:00 0.091034\n",
"2017-06-01 21:45:00+02:00 0.203306"
]
},
"execution_count": 59,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_output_train.head()"
]
},
{
"cell_type": "code",
"execution_count": 60,
"metadata": {},
"outputs": [],
"source": [
"np_input_train = df_input_train.to_numpy()\n",
"np_output_train = df_output_train.to_numpy().reshape(-1, 1)"
]
},
{
"cell_type": "code",
"execution_count": 61,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(864, 16)"
]
},
"execution_count": 61,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"np_input_train.shape"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Define model and kernel"
]
},
{
"cell_type": "code",
"execution_count": 62,
"metadata": {},
"outputs": [],
"source": [
"nb_dims = np_input_train.shape[1]\n",
"rational_dims = np.arange(0, (dict_cols['t'][0] + 1) * len(dict_cols['t'][1]), 1)\n",
"nb_rational_dims = len(rational_dims)\n",
"squared_dims = np.arange(nb_rational_dims, nb_dims, 1)\n",
"nb_squared_dims = len(squared_dims)"
]
},
{
"cell_type": "code",
"execution_count": 63,
"metadata": {},
"outputs": [],
"source": [
"squared_l = [1] * nb_squared_dims\n",
"rational_l = [1] * nb_rational_dims"
]
},
{
"cell_type": "code",
"execution_count": 64,
"metadata": {},
"outputs": [],
"source": [
"variance = tf.math.reduce_variance(np_input_train)"
]
},
{
"cell_type": "code",
"execution_count": 97,
"metadata": {},
"outputs": [],
"source": [
"variance = 10"
]
},
{
"cell_type": "code",
"execution_count": 98,
"metadata": {},
"outputs": [],
"source": [
"k0 = gpflow.kernels.SquaredExponential(lengthscales = squared_l, active_dims = squared_dims, variance = variance)\n",
"k1 = gpflow.kernels.Constant()\n",
"k2 = gpflow.kernels.RationalQuadratic(lengthscales = rational_l, active_dims = rational_dims, variance = variance)\n",
"k3 = gpflow.kernels.Periodic(k2)"
]
},
{
"cell_type": "code",
"execution_count": 99,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<table>\n",
"<thead>\n",
"<tr><th>name </th><th>class </th><th>transform </th><th>prior </th><th>trainable </th><th>shape </th><th>dtype </th><th>value </th></tr>\n",
"</thead>\n",
"<tbody>\n",
"<tr><td>Product.kernels[0].kernels[0].variance </td><td>Parameter</td><td>Softplus </td><td> </td><td>True </td><td>() </td><td>float64</td><td>10.0 </td></tr>\n",
"<tr><td>Product.kernels[0].kernels[0].lengthscales</td><td>Parameter</td><td>Softplus </td><td> </td><td>True </td><td>(8,) </td><td>float64</td><td>[1., 1., 1....</td></tr>\n",
"<tr><td>Product.kernels[0].kernels[1].variance </td><td>Parameter</td><td>Softplus </td><td> </td><td>True </td><td>() </td><td>float64</td><td>1.0 </td></tr>\n",
"<tr><td>Product.kernels[1].variance </td><td>Parameter</td><td>Softplus </td><td> </td><td>True </td><td>() </td><td>float64</td><td>10.0 </td></tr>\n",
"<tr><td>Product.kernels[1].lengthscales </td><td>Parameter</td><td>Softplus </td><td> </td><td>True </td><td>(8,) </td><td>float64</td><td>[1., 1., 1....</td></tr>\n",
"<tr><td>Product.kernels[1].alpha </td><td>Parameter</td><td>Softplus </td><td> </td><td>True </td><td>() </td><td>float64</td><td>1.0 </td></tr>\n",
"</tbody>\n",
"</table>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"k = (k0 + k1) * k2\n",
"print_summary(k)"
]
},
{
"cell_type": "code",
"execution_count": 100,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<table>\n",
"<thead>\n",
"<tr><th>name </th><th>class </th><th>transform </th><th>prior </th><th>trainable </th><th>shape </th><th>dtype </th><th>value </th></tr>\n",
"</thead>\n",
"<tbody>\n",
"<tr><td>GPR.kernel.kernels[0].kernels[0].variance </td><td>Parameter</td><td>Softplus </td><td> </td><td>True </td><td>() </td><td>float64</td><td>10.0 </td></tr>\n",
"<tr><td>GPR.kernel.kernels[0].kernels[0].lengthscales</td><td>Parameter</td><td>Softplus </td><td> </td><td>True </td><td>(8,) </td><td>float64</td><td>[1., 1., 1....</td></tr>\n",
"<tr><td>GPR.kernel.kernels[0].kernels[1].variance </td><td>Parameter</td><td>Softplus </td><td> </td><td>True </td><td>() </td><td>float64</td><td>1.0 </td></tr>\n",
"<tr><td>GPR.kernel.kernels[1].variance </td><td>Parameter</td><td>Softplus </td><td> </td><td>True </td><td>() </td><td>float64</td><td>10.0 </td></tr>\n",
"<tr><td>GPR.kernel.kernels[1].lengthscales </td><td>Parameter</td><td>Softplus </td><td> </td><td>True </td><td>(8,) </td><td>float64</td><td>[1., 1., 1....</td></tr>\n",
"<tr><td>GPR.kernel.kernels[1].alpha </td><td>Parameter</td><td>Softplus </td><td> </td><td>True </td><td>() </td><td>float64</td><td>1.0 </td></tr>\n",
"<tr><td>GPR.likelihood.variance </td><td>Parameter</td><td>Softplus + Shift</td><td> </td><td>True </td><td>() </td><td>float64</td><td>1.0 </td></tr>\n",
"</tbody>\n",
"</table>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"m = gpflow.models.GPR(\n",
" data = (np_input_train, np_output_train), \n",
" kernel = k,\n",
" mean_function = None\n",
" )\n",
"print_summary(m)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Train model"
]
},
{
"cell_type": "code",
"execution_count": 101,
"metadata": {},
"outputs": [],
"source": [
"opt = gpflow.optimizers.Scipy()"
]
},
{
"cell_type": "code",
"execution_count": 102,
"metadata": {},
"outputs": [],
"source": [
"from datetime import datetime"
]
},
{
"cell_type": "code",
"execution_count": 103,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Finished fitting in 0:00:16.041917\n"
]
},
{
"data": {
"text/html": [
"<table>\n",
"<thead>\n",
"<tr><th>name </th><th>class </th><th>transform </th><th>prior </th><th>trainable </th><th>shape </th><th>dtype </th><th>value </th></tr>\n",
"</thead>\n",
"<tbody>\n",
"<tr><td>GPR.kernel.kernels[0].kernels[0].variance </td><td>Parameter</td><td>Softplus </td><td> </td><td>True </td><td>() </td><td>float64</td><td>680.0158754974991 </td></tr>\n",
"<tr><td>GPR.kernel.kernels[0].kernels[0].lengthscales</td><td>Parameter</td><td>Softplus </td><td> </td><td>True </td><td>(8,) </td><td>float64</td><td>[3879.61410136, 3611.74772391, 2705.86685632...</td></tr>\n",
"<tr><td>GPR.kernel.kernels[0].kernels[1].variance </td><td>Parameter</td><td>Softplus </td><td> </td><td>True </td><td>() </td><td>float64</td><td>0.0 </td></tr>\n",
"<tr><td>GPR.kernel.kernels[1].variance </td><td>Parameter</td><td>Softplus </td><td> </td><td>True </td><td>() </td><td>float64</td><td>2.5528463890805164 </td></tr>\n",
"<tr><td>GPR.kernel.kernels[1].lengthscales </td><td>Parameter</td><td>Softplus </td><td> </td><td>True </td><td>(8,) </td><td>float64</td><td>[4756.27621398, 4614.06336408, 4742.18906451...</td></tr>\n",
"<tr><td>GPR.kernel.kernels[1].alpha </td><td>Parameter</td><td>Softplus </td><td> </td><td>True </td><td>() </td><td>float64</td><td>2859.355412460411 </td></tr>\n",
"<tr><td>GPR.likelihood.variance </td><td>Parameter</td><td>Softplus + Shift</td><td> </td><td>True </td><td>() </td><td>float64</td><td>0.0019562304623461906 </td></tr>\n",
"</tbody>\n",
"</table>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"start_time = datetime.now()\n",
"opt.minimize(m.training_loss, m.trainable_variables)\n",
"print(f\"Finished fitting in {datetime.now() - start_time}\")\n",
"print_summary(m)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Evaluate performance on training data"
]
},
{
"cell_type": "code",
"execution_count": 104,
"metadata": {},
"outputs": [],
"source": [
"nb_plts = len(dfs_gpr_train)"
]
},
{
"cell_type": "code",
"execution_count": 105,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1440x1440 with 4 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize = (20, 20))\n",
"\n",
"for idx, df_iter in enumerate(dfs_gpr_train):\n",
" plt.subplot(nb_plts, 1, idx + 1)\n",
" df_input_iter = df_iter.drop(columns = dict_cols['y'][1] + dict_cols['u'][1])\n",
" df_output_iter = df_iter[dict_cols['y'][1]]\n",
" np_input_iter = df_input_iter.to_numpy()\n",
" np_output_iter = df_output_iter.to_numpy().reshape(-1, 1)\n",
" \n",
" mean, var = m.predict_f(np_input_iter)\n",
" \n",
" plt.plot(df_iter.index, np_output_iter[:, :], label = 'Measured data')\n",
" plt.plot(df_iter.index, mean[:, :], label = 'Gaussian Process Prediction')\n",
" plt.fill_between(\n",
" df_iter.index, \n",
" mean[:, 0] - 1.96 * np.sqrt(var[:, 0]),\n",
" mean[:, 0] + 1.96 * np.sqrt(var[:, 0]),\n",
" alpha = 0.2\n",
" )\n",
" plt.title(f\"Model Performance on training data: {train_exps[idx]}\")\n",
" plt.legend()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Evaluate performance on test data"
]
},
{
"cell_type": "code",
"execution_count": 95,
"metadata": {},
"outputs": [],
"source": [
"dfs_gpr_test = []\n",
"for df_sc in dfs_test_sc:\n",
" dfs_gpr_test.append(data_to_gpr(df_sc, dict_cols))"
]
},
{
"cell_type": "code",
"execution_count": 96,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1440x1440 with 3 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize = (20, 20))\n",
"\n",
"for idx, df_iter in enumerate(dfs_gpr_test):\n",
" plt.subplot(nb_plts, 1, idx + 1)\n",
" df_input_iter = df_iter.drop(columns = dict_cols['y'][1] + dict_cols['u'][1])\n",
" df_output_iter = df_iter[dict_cols['y'][1]]\n",
" np_input_iter = df_input_iter.to_numpy()\n",
" np_output_iter = df_output_iter.to_numpy().reshape(-1, 1)\n",
" \n",
" mean, var = m.predict_f(np_input_iter)\n",
" \n",
" plt.plot(df_iter.index, np_output_iter[:, :], label = 'Measured data')\n",
" plt.plot(df_iter.index, mean[:, :], label = 'Gaussian Process Prediction')\n",
" plt.fill_between(\n",
" df_iter.index, \n",
" mean[:, 0] - 1.96 * np.sqrt(var[:, 0]),\n",
" mean[:, 0] + 1.96 * np.sqrt(var[:, 0]),\n",
" alpha = 0.2\n",
" )\n",
" plt.title(f\"Model Performance on test data: {test_exps[idx]}\")\n",
" plt.legend()\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 72,
"metadata": {},
"outputs": [],
"source": [
"pickle.dump(dfs_gpr_train, open(Path(\"dfs_gpr_train.pkl\"), 'wb'))\n",
"pickle.dump(dfs_gpr_test, open(Path(\"dfs_gpr_test.pkl\"), 'wb'))\n",
"pickle.dump(scaler, open(Path(\"scaler.pkl\"), 'wb'))"
]
},
{
"cell_type": "code",
"execution_count": 73,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"432.87418821478263"
]
},
"execution_count": 73,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"np.linalg.cond(\n",
" np_input_train[:100, :]\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 74,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"4.4999054032351606e+21"
]
},
"execution_count": 74,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"np.linalg.cond(\n",
" k(np_input_train[:, :])\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 75,
"metadata": {},
"outputs": [],
"source": [
"def simulate_carnot_gp(df_wdb, df, power_signal, m):\n",
" \n",
" df_local = df.copy()\n",
" \n",
" power = np.array([df_wdb['time'], power_signal]).T\n",
" runtime = df_wdb['time'].iloc[-1]\n",
" \n",
" eng.workspace['power'] = matlab.double(power.tolist())\n",
" eng.set_param('polydome', 'StopTime', str(runtime), nargout = 0)\n",
" eng.workspace['result'] = eng.sim('polydome')\n",
" df_simulation = carnot_to_series(eng, df.index[0])\n",
" \n",
" df_local.loc[:,'SimulatedTemp'] = df_simulation\n",
" df_local.loc[:,'SimulatedHeat'] = power[:, 1]\n",
" \n",
" df_sc = get_scaled_df(df_local, w_list, u_list, y_list, scaler)\n",
" df_gpr = data_to_gpr(df_sc)\n",
"\n",
" df_input = df_gpr.drop(columns = ['u', 'y'])\n",
" df_output = df_gpr['y']\n",
" \n",
" np_input_test = df_input.to_numpy()\n",
" #np_output_test = df_output.to_numpy().reshape(-1, 1)\n",
" \n",
" mean, var = m.predict_y(np_input_test)\n",
" \n",
" df_local.loc[3:, 'gpTemp'] = mean\n",
" df_local.loc[3:, 'gpVar'] = var\n",
" \n",
" return df_local"
]
},
{
"cell_type": "code",
"execution_count": 76,
"metadata": {},
"outputs": [],
"source": [
"#df_sim = simulate_carnot_gp(df_wdb, df, random_signal, m)\n",
"#df_sim.fillna(0, inplace = True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Export Gaussian Process Model"
]
},
{
"cell_type": "code",
"execution_count": 77,
"metadata": {},
"outputs": [],
"source": [
"def export_gpr(path, m, w_scaler, u_scaler, y_scaler):\n",
" m_params = gpflow.utilities.parameter_dict(m)\n",
" pickle.dump(m_params, open(Path(path, 'gp_params.gpf'), 'wb'))\n",
" pickle.dump(m.data, open(Path(path, 'gp_data.gpf'), 'wb'))\n",
" pickle.dump(w_scaler, open(Path(path, 'w_scaler.pkl'), 'wb'))\n",
" pickle.dump(u_scaler, open(Path(path, 'u_scaler.pkl'), 'wb'))\n",
" pickle.dump(y_scaler, open(Path(path, 'y_scaler.pkl'), 'wb'))"
]
},
{
"cell_type": "code",
"execution_count": 78,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"PosixPath('/home/radu/Projects/Master-Project/Notebooks/model')"
]
},
"execution_count": 78,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"export_path = Path(Path.cwd(), 'model')\n",
"export_path"
]
},
{
"cell_type": "code",
"execution_count": 79,
"metadata": {},
"outputs": [
{
"ename": "NameError",
"evalue": "name 'w_scaler' is not defined",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-79-1aca23412daa>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mexport_gpr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mexport_path\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mm\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mw_scaler\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mu_scaler\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my_scaler\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;31mNameError\u001b[0m: name 'w_scaler' is not defined"
]
}
],
"source": [
"export_gpr(export_path, m, w_scaler, u_scaler, y_scaler)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from scipy.io import savemat"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"table_cols = df_gpr_train.columns.to_list()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"mdict = {\n",
" 'table_cols': table_cols,\n",
" 'gpr_train': dfs_gpr_train,\n",
" 'gpr_test': dfs_gpr_test\n",
"}"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"savemat(\"test_mat.mat\", mdict)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Evaluate performance with new input and disturbances"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"df_wdb, df = load_weather_data(\"Exp7\")\n",
"len_signal = len(df_wdb)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"random_signal = get_random_signal(len_signal, a_range = (- COP_cooling * Pel_max, COP_heating * Pel_max), signal_type = 'analog')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"df_sim = simulate_carnot_gp(df_wdb, df, random_signal, m)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"plt.figure() \n",
"plt.subplot(2,1,1)\n",
"plt.plot(df_sim.index, df_sim['SimulatedTemp'], label = 'Simulated Temperature')\n",
"plt.plot(df.index, df['OutsideTemp'], '-.', label = 'Outside Temperature')\n",
"plt.title('Temperatures')\n",
"plt.legend()\n",
"plt.subplot(2,1,2)\n",
"plt.plot(df_sim['SimulatedHeat'], drawstyle = 'steps', label = 'Heat Input')\n",
"plt.title('Heat Input')\n",
"plt.legend()\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"plt.figure(figsize = (20, 5))\n",
"plt.plot(df_sim.index, df_sim['SimulatedTemp'], label = 'Measured data')\n",
"plt.plot(df_sim.index, df_sim['gpTemp'], label = 'Gaussian Process Prediction')\n",
"plt.fill_between(\n",
" df_sim.index, \n",
" df_sim['gpTemp'] - 1.96 * np.sqrt(df_sim['gpVar']),\n",
" df_sim['gpTemp'] + 1.96 * np.sqrt(df_sim['gpVar']),\n",
" alpha = 0.2\n",
")\n",
"plt.legend()\n",
"plt.title(\"Gaussian Process Performance on new random input data/ new weather data\")\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"### Simulate the System with constant Zero Input"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"random_signal = get_random_signal(len_signal, a_range = [0,0], signal_type = 'analog')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"df_sim = simulate_carnot_gp(df_wdb, df, random_signal, m)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"df_sim"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"plt.figure() \n",
"plt.subplot(2,1,1)\n",
"plt.plot(df_sim.index, df_sim['SimulatedTemp'], label = 'Simulated Temperature')\n",
"plt.plot(df.index, df['OutsideTemp'], '-.', label = 'Outside Temperature')\n",
"plt.title('Temperatures')\n",
"plt.legend()\n",
"plt.subplot(2,1,2)\n",
"plt.plot(df_sim['SimulatedHeat'], drawstyle = 'steps', label = 'Heat Input')\n",
"plt.title('Heat Input')\n",
"plt.legend()\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"plt.figure(figsize = (20, 5))\n",
"plt.plot(df_sim.index, df_sim['SimulatedTemp'], label = 'Measured data')\n",
"plt.plot(df_sim.index, df_sim['gpTemp'], label = 'Gaussian Process Prediction')\n",
"plt.fill_between(\n",
" df_sim.index, \n",
" df_sim['gpTemp'] - 1.96 * np.sqrt(df_sim['gpVar']),\n",
" df_sim['gpTemp'] + 1.96 * np.sqrt(df_sim['gpVar']),\n",
" alpha = 0.2\n",
")\n",
"plt.legend()\n",
"plt.title(\"Gaussian Process Performance on new weather data with constant zero input\")\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"### GP prediction N steps ahead"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"df_sim"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"df_sim[['OutsideTemp', 'SolRad']]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"df_sc = get_scaled_df(df_sim, w_scaler, u_scaler, y_scaler)\n",
"df_gpr = data_to_gpr(df_sc)\n",
"\n",
"df_input = df_gpr.drop(columns = ['u', 'y'])\n",
"df_output = df_gpr['y']"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"df_input = dfs_gpr_test[0].drop(columns = u_list + y_list)\n",
"df_output = dfs_gpr_test[0][y_list]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"N_pred = 11"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"idx = 1"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"df_iter = df_input.iloc[idx:(idx + N_pred)].copy()\n",
"df_iter"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"for idxx in range(N_pred - 1):\n",
" mean, var = m.predict_f(df_iter.iloc[idxx, :].to_numpy().reshape(1, -1))\n",
" df_iter.iloc[idxx + 1, 7] = mean.numpy().flatten()\n",
" df_iter.iloc[idxx + 1, 8] = df_iter.iloc[idxx, 7]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"df_iter"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"data_to_gpr(dfs_train[0], lags_list, col_lists)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"y_list"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"df_iter.index[0]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"df_iter"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"u_lags"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"mean_iter, var_iter = m.predict_f(df_iter.to_numpy())"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"plt.figure()\n",
"plt.plot(df_iter.index, mean_iter.numpy(), 'o-', label = 'predicted', color = 'orange')\n",
"plt.plot(df_output.iloc[idx:idx + N_pred], 'o-', label = 'measured', color = 'darkblue')\n",
"plt.legend()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"nb_predictions = 10\n",
"N_pred = 8"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"plt.figure()\n",
"plt.plot(df_output.iloc[:nb_predictions + N_pred], 'o-', label = 'measured', color = 'darkblue')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"plt.figure()\n",
"\n",
"for idx in range(nb_predictions):\n",
" df_iter = df_input.iloc[idx:(idx + N_pred)].copy()\n",
" for idxx in range(N_pred - 1):\n",
" mean, var = m.predict_f(df_iter.iloc[idxx, :].to_numpy().reshape(1, -1))\n",
" df_iter.iloc[idxx + 1, 4] = mean.numpy().flatten()\n",
" mean, var = m.predict_f(df_iter.iloc[idxx, :].to_numpy().reshape(1, -1))\n",
" df_iter.iloc[idxx + 1, 7] = mean.numpy().flatten()\n",
" df_iter.iloc[idxx + 1, 8] = df_iter.iloc[idxx, 7]\n",
" \n",
" mean_iter, var_iter = m.predict_y(df_iter.to_numpy())\n",
" plt.plot(df_iter.index, mean_iter.numpy(), '.-', label = 'predicted', color = 'orange')\n",
"plt.plot(df_output.iloc[:nb_predictions + N_pred], 'o-', label = 'measured', color = 'darkblue')\n",
"plt.title(f\"Prediction over {N_pred} steps\")\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"df_input[['SolRad', 'OutsideTemp']].plot()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.6"
},
"toc-autonumbering": false,
"toc-showmarkdowntxt": false,
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