Defined base structure of document
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\includegraphics[width=0.5\linewidth]{Logo-EPFL.png}\par
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\vspace{5cm}
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{\Huge \bf Inter-seasonal performance of Gaussian Process models for building temperature prediction \par}
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{\Huge \bf Multi-seasonal performance of Gaussian Processes for building control \par}
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\vspace{1cm}
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{\LARGE \bf Master Project\par}
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\section{Introduction}
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Lorem ipsum dolor sit amet
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10_Introduction.tex
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10_Introduction.tex
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\section{Introduction}
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{\color{red}\lipsum[1-3]}
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% TODO: [Introduction] Control for building regulation
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% TODO: [Introduction] Benefits of data-driven methods
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% TODO: [Introduction] Big lines previous research and why
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\clearpage
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20_Previous_Research.tex
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20_Previous_Research.tex
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\section{Previous Research}
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With the increase in computational power and availability of data over time the
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accesibility of data-driven methods for System Identfication and Control has
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also risen significantly.
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The idea of using Gaussian Processes as regression models for control of dynamic
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systems is not new, and has already been explored a number of times. A general
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description of their use, along with the necessary theory and some example
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implementations is given in {\color{red} Add citation to the Gaussian Process
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for dynamic models textbook}
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Gaussian Processes for building control have been studied before in the context
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of Demand Response, {\color{orange} where the buildings are used for their heat
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capacity in order to reduce the stress on energy provides during peak load times}
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{\color{red}\lipsum[1]}
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% TODO: [Previous Research] Finish with need for adaptive schemes
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{\color{red}\lipsum[2-3]}
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\clearpage
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30_Gaussian_Processes_Background.tex
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30_Gaussian_Processes_Background.tex
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\section{Gaussian Processes Background}
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{\color{red} \lipsum[1-5]}
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% TODO: [GP Background] General info and math background on GP
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% TODO: [GP Background] Definition of GP (from Rasmussen book?)
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% TODO: [GP Background] Some relevant information from the GP modeling textbook
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\subsection{Kernels}
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% TODO: [GP Background] Different kernels used in dynamical systems with math
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\subsection{SVGP}
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% TODO: [GP Background] High level and math parts of SVGP
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% TODO: [GP Background] Add citation for SVGP (look in GPflow source code)
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\clearpage
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40_CARNOT_model.tex
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40_CARNOT_model.tex
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\section{CARNOT model}
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\subsection{Physical dimensions}
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\subsection{Material properties}
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\subsection{HVAC parameters}
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{\color{red}test}
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\clearpage
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50_Choice_of_Hyperparameters.tex
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50_Choice_of_Hyperparameters.tex
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\section{Choice of Hyperparameters}
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\subsection{The Kernel}
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\subsection{Loss functions}
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\subsection{Lengthscales}
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\clearpage
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60_The_MPC_Problem.tex
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60_The_MPC_Problem.tex
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\section{The MPC Problem}
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\clearpage
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70_Implementation.tex
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70_Implementation.tex
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\section{Implementation}
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\subsection{Simulink Model}
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% TODO: Cite CARNOT
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\subsection{Tensorflow and GPflow}
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\subsubsection{Test subsection}
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% TODO: Cite Tensorflow
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% TODO: Cite GPflow
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\subsection{Optimal Control Problem}
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% TODO: Cite CasADi
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% TODO: Cite HSL solvers for using MA27
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\subsection{Python server and controller objects}
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\clearpage
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80_Results.tex
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80_Results.tex
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\section{Results}
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\subsection{Conventional Gaussian Processes}
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\subsection{Adaptive scheme with SVGP}
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\clearpage
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90_Further_Research.tex
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90_Further_Research.tex
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\section{Further Research}
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\clearpage
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95_Conclusion.tex
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95_Conclusion.tex
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\section{Conclusion}
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\clearpage
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main.tex
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main.tex
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\usepackage{csquotes} % Removes a compilation warning
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\usepackage{changepage}
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\usepackage{lipsum}
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%SI Package
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\usepackage[binary-units=true]{siunitx}
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%\sisetup{group-separator = \text{\,}}
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\tableofcontents
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\clearpage
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\input{01_Introduction.tex}
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\input{10_Introduction.tex}
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\input{20_Previous_Research.tex}
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\input{30_Gaussian_Processes_Background.tex}
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\input{40_CARNOT_model.tex}
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\input{50_Choice_of_Hyperparameters.tex}
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\input{60_The_MPC_Problem.tex}
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\input{70_Implementation.tex}
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\input{80_Results.tex}
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\input{90_Further_Research.tex}
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\input{95_Conclusion.tex}
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\end{document}
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references.bib
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references.bib
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