Non-autoregressive Linear baseline update + wrote further at thesis

Reports/Thesis/verslag.tex

@@ -23,6 +23,7 @@
 \usepackage{float}
 \usepackage{bbm}
 \usepackage{booktabs}
+\usepackage{subcaption}
 
 
 \newcolumntype{C}{>{\centering\arraybackslash}X}
@@ -66,7 +67,7 @@
 %% Note: a stricter UGent style could be achieved with, e.g.:
 \usepackage{ulem} % for colored underline
 \renewcommand{\ULthickness}{2pt} % adjust thickness of underline
-\thetitle{Forecasting and generative modeling of the Belgian electricity market}
+\thetitle{Generative modeling of electricity imbalance prices for battery optimization}
 % Note: do not forget to reset the \ULthickness to 1pt after invoking \maketitle
 % (otherwise all underlines in the rest of your document will be too thick):
 %\renewcommand{\ULthickness}{1pt}
@@ -114,8 +115,8 @@
 % =====================================================================
 
 % ------------ TABLE OF CONTENTS ---------
-% {\hypersetup{hidelinks}\tableofcontents} % hide link color in toc
-% \newpage
+{\hypersetup{hidelinks}\tableofcontents} % hide link color in toc
+\newpage
 % \begin{titlepage}
 
 %     \centering % Centers everything on the page
@@ -131,22 +132,26 @@
 %     {\Large Victor Mylle\par}
     
 %     \vspace{1cm}
-%     {\large Period of Internship: 3 July 2023 - 31 August 2023\par}
+%     {\large }
     
 %     \vspace{1cm}
-%     {\large Mentor: dr. ir. Femke De Backere\par}
+%     {\large Mentor: }
     
 % \end{titlepage}
 
-\newpage
 
+% ------------ ABSTRACT ---------
+
+
+
+
+% ------------ Introduction ---------
 \include{sections/introduction}
 
+
 \include{sections/background}
 
-\section{Literature Study}
-- Literatuur forecasting imbalance price
-- Literatuur policies adhv forecasts
+\include{sections/literature_study}
 
 \section{TODO: Better title for this section}
 This thesis can be divided into two main parts. The first part focuses on modeling the Net Regulation Volume (NRV) of the Belgian electricity market for the next day. This modeling is conditioned on multiple inputs that can be obtained from Elia (TODO: add citation to the open data of Elia). The second part of the thesis focuses on optimizing a simple policy using the NRV generations for the next day. The policy tries to maximize profit by charging and discharging a battery and thereby buying and selling electricity on the market. Multiple models are trained and tested to model the NRV and compared to each other based on their profit optimization.
@@ -154,5 +159,9 @@ This thesis can be divided into two main parts. The first part focuses on modeli
 \input{sections/nrv_prediction}
 
 
-\end{document}
+\section{Policies for battery optimization}
+\subsection{Baselines}
 
+\subsection{Policies using NRV predictions}
+
+\end{document}