%0 Conference Paper %1 conf/clei/MoralesMarecoASSG23 %A Morales-Mareco, Felix %A Ayala, Carlos Sauer %A Stalder, Diego H. %A Salgueiro, Luis %A Grillo, Sebastián A. %B CLEI %D 2023 %I IEEE %K dblp %P 1-10 %T Short-Term Electricity Demand Forecasting: Evaluating the Effectiveness of Statistical, Machine Learning, and Deep Learning Models. %U http://dblp.uni-trier.de/db/conf/clei/clei2023.html#MoralesMarecoASSG23 %@ 979-8-3503-1887-6

@inproceedings{conf/clei/MoralesMarecoASSG23, added-at = {2024-02-09T00:00:00.000+0100}, author = {Morales-Mareco, Felix and Ayala, Carlos Sauer and Stalder, Diego H. and Salgueiro, Luis and Grillo, Sebastián A.}, biburl = {https://www.bibsonomy.org/bibtex/2f0ebbf77958fd647cfcb08dc11753518/dblp}, booktitle = {CLEI}, crossref = {conf/clei/2023}, ee = {https://doi.org/10.1109/CLEI60451.2023.10346118}, interhash = {752088a112a6f72a0da5210c2cddba06}, intrahash = {f0ebbf77958fd647cfcb08dc11753518}, isbn = {979-8-3503-1887-6}, keywords = {dblp}, pages = {1-10}, publisher = {IEEE}, timestamp = {2024-04-09T18:58:35.000+0200}, title = {Short-Term Electricity Demand Forecasting: Evaluating the Effectiveness of Statistical, Machine Learning, and Deep Learning Models.}, url = {http://dblp.uni-trier.de/db/conf/clei/clei2023.html#MoralesMarecoASSG23}, year = 2023 }