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Victor Mylle
2024-05-20 09:35:07 +00:00
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Reports/Thesis/sections/appendix.aux
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Reports/Thesis/sections/results/policies/nrv_samples_policy.tex
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\bottomrule
\end{tabular}
\end{adjustbox}
\caption{Comparison of the different models using the CRPS, profit, charge cycles and penalty. The best-performing models for a certain type are selected based on the profit.}
\caption{Comparison of the profit achieved by the baselines and the best-performing models. The improvement is calculated compared to the baseline that uses the NRV of yesterday as a prediction.}
\label{tab:policy_comparison}
\end{table}
\newpage
\section{Conclusion}
In this thesis, generative methods are explored to model the NRV data of the Belgian electricity market. These methods are then used to improve the decision-making to charge and discharge a battery to make a profit.

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\bibcite{commission_for_electricity_and_gas_regulation_creg_study_2023}{{1}{}{{Commission for Electricity and Gas Regulation (CREG)}}{{}}}
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