47 lines
3.6 KiB
TeX
47 lines
3.6 KiB
TeX
\relax
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\citation{noauthor_geliberaliseerde_nodate}
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\citation{noauthor_fcr_nodate,noauthor_afrr_nodate,noauthor_mfrr_nodate}
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\citation{elia_tariffs_2022}
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\@writefile{toc}{\contentsline {section}{\numberline {I}Introduction}{1}{}\protected@file@percent }
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\@writefile{toc}{\contentsline {section}{\numberline {II}Background}{1}{}\protected@file@percent }
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\@writefile{toc}{\contentsline {subsection}{\numberline {\mbox {II-A}}Electricity Market}{1}{}\protected@file@percent }
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\@writefile{toc}{\contentsline {subsection}{\numberline {\mbox {II-B}}Generative Modeling}{1}{}\protected@file@percent }
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\citation{goodfellow_generative_2014,kingma_auto-encoding_2022,rezende_variational_2015,sohl-dickstein_deep_2015}
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\citation{koenker_regression_1978}
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\citation{gneiting_strictly_2007}
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\citation{sohl-dickstein_deep_2015}
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\citation{ho_denoising_2020}
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\@writefile{toc}{\contentsline {subsection}{\numberline {\mbox {II-C}}Battery Optimization Policies}{2}{}\protected@file@percent }
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\@writefile{toc}{\contentsline {subsubsection}{\numberline {\mbox {II-C}2}Policies Based on NRV Generations}{2}{}\protected@file@percent }
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\@writefile{toc}{\contentsline {section}{\numberline {III}Results \& Discussion}{2}{}\protected@file@percent }
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\@writefile{toc}{\contentsline {subsection}{\numberline {\mbox {III-A}}NRV Modeling}{2}{}\protected@file@percent }
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\@writefile{lof}{\contentsline {figure}{\numberline {1}{\ignorespaces Example of a reconstructed cumulative distribution function of the NRV for a certain quarter.}}{2}{}\protected@file@percent }
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\newlabel{fig:cdf_example}{{1}{2}}
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\@writefile{lof}{\contentsline {figure}{\numberline {2}{\ignorespaces Comparison between autoregressive and non-autoregressive models. The samples are generated using a linear model using all input features.}}{3}{}\protected@file@percent }
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\@writefile{lof}{\contentsline {figure}{\numberline {3}{\ignorespaces Intermediate steps of the diffusion model for example 864 from the test set. The confidence intervals shown in the plots are made using 100 samples.}}{3}{}\protected@file@percent }
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\newlabel{fig:diffusion_intermediates}{{3}{3}}
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\bibstyle{IEEEtran}
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\bibdata{../Thesis/references}
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\bibcite{noauthor_geliberaliseerde_nodate}{{1}{}{{}}{{}}}
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\bibcite{noauthor_fcr_nodate}{{2}{}{{}}{{}}}
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\bibcite{noauthor_afrr_nodate}{{3}{}{{}}{{}}}
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\bibcite{noauthor_mfrr_nodate}{{4}{}{{}}{{}}}
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\bibcite{elia_tariffs_2022}{{5}{}{{}}{{}}}
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\bibcite{goodfellow_generative_2014}{{6}{}{{}}{{}}}
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\bibcite{kingma_auto-encoding_2022}{{7}{}{{}}{{}}}
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\bibcite{rezende_variational_2015}{{8}{}{{}}{{}}}
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\bibcite{sohl-dickstein_deep_2015}{{9}{}{{}}{{}}}
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\@writefile{toc}{\contentsline {subsection}{\numberline {\mbox {III-B}}Policy Evaluation}{4}{}\protected@file@percent }
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\@writefile{toc}{\contentsline {section}{\numberline {IV}Conclusion}{4}{}\protected@file@percent }
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\@writefile{lof}{\contentsline {figure}{\numberline {4}{\ignorespaces Comparison of the profit made by the different policies and baselines using the test set.}}{4}{}\protected@file@percent }
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\newlabel{fig:profit_comparison}{{4}{4}}
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\bibcite{koenker_regression_1978}{{10}{}{{}}{{}}}
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\bibcite{gneiting_strictly_2007}{{11}{}{{}}{{}}}
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\bibcite{ho_denoising_2020}{{12}{}{{}}{{}}}
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