PHD Project - Driver energy prediction
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%\chapter*{Abkürzungen\markboth{Abkürzungen}{Abkürzungen}}
%\section*{Acronyms and Abbreviations}
%\input{inputs/acronyms}
\glsaddall
\renewcommand{\glsnamefont}[1]{\textbf{#1}}
\printglossary[type=\acronymtype,style=super,title=Acronyms and Abbreviations,nogroupskip=true,nopostdot]
%\printacronyms[include-classes=abk, name={Abkürzungsverzeichnis}]
%
%\begin{acronym}[ARIMA] % put longest acronym in the brackets
% \acro{ANN}{Artificial Neural Network}
% \acro{ADF}{Assumed-Density-Filtering}
% \acro{ARIMA}{Autoregressive Integrated Moving Average}
% \acro{BV}{Bayes-Variationsrechnung}
% \acro{CPU}{Central Processing Unit}
% \acro{DPCA}{Dynamic Principal Component Analysis}
% \acro{DPLS}{Dynamic Partial Least Squares}
% \acro{EFT}{Endfunktionstest}
% \acro{EOL}{End-of-Line}
% \acro{EM}{Expectation-Maximization}
% \acro{EWMA}{Exponentially Weighted Moving Average}
% \acro{FMEA}{Failure Mode and Effects Analysis}
% \acro{GKF}{Gating-Kalman-Filter}
% \acro{HDI}{Highest-Density-Interval}
% \acro{HDR}{Highest-Density-Region}
% \acro{iid}[i.i.d.]{independent and identically distributed}
% \acro{iO}[i.O.]{in Ordnung}
% \acro{IRLS}{Iteratively-Reweighted-Least-Squares}
% \acro{KF}{Kalman-Filter}
% \acro{MAD}{Median Absolute Deviation}
% \acro{MAP}{Maximum-a-posteriori}
% \acro{MCMC}{Markov-Chain-Monte-Carlo}
% \acro{ML}{Maximum-Likelihood}
% \acro{niO}[n.i.O.]{nicht in Ordnung}
% \acro{ORKF}{Robustes Filter auf Basis der Bayes-Variationsrechnung} % Variational-Bayesian-Robust-Kalman-Filter
% \acro{PCA}{Principal Component Analysis}
% \acro{PF}{Particle-Filter}
% \acro{PLS}{Partial Least Squares}
% \acro{RBF}{Radial-Basis-Function}
% \acro{RME}{Rekursiver M-Schätzer}
% \acro{RTS}{Rauch-Tung-Striebel}
% \acro{SPC}{Statistical Process Control}
% \acro{SVDD}{Support Vector Data Description}
% \acro{SVM}{Support Vector Machine}
% \acro{TKF}{Student-t-Kalman-Filter von Roth}
% \acro{Val}[Val.]{Validierung}
%
%\end{acronym}