[{"type":"conference","year":"2024","title":"A comparison of machine learning algorithms for the optimization of a day-ahead photovoltaic power forecast","project":[{"_id":"0ec202b7-cd76-11ed-89f4-a9e1a6dbdaa7","name":"Institut für Technische Energie-Systeme"}],"conference":{"name":"2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE)","location":"Dubrovnik, Croatia","end_date":"2024-10-17","start_date":"2024-10-14"},"user_id":"220548","language":[{"iso":"eng"}],"publication_identifier":{"isbn":["978-953-184-297-6"]},"publication":"IEEE PES ISGT  Europe 2024 Conference book","date_updated":"2026-03-17T15:29:19Z","status":"public","date_created":"2025-02-07T12:55:58Z","editor":[{"full_name":"Holjevac, Ninoslav","last_name":"Holjevac","first_name":"Ninoslav"},{"full_name":"Baškarad, Tomislav ","first_name":"Tomislav ","last_name":"Baškarad"},{"first_name":"Matija ","last_name":"Zidar","full_name":"Zidar, Matija "},{"last_name":"Kuzle","first_name":"Igor ","full_name":"Kuzle, Igor "}],"author":[{"full_name":"Schulte, Katrin","first_name":"Katrin","last_name":"Schulte","id":"221177"},{"full_name":"Engel, Lars","first_name":"Lars","last_name":"Engel"},{"full_name":"Quakernack, Lars","first_name":"Lars","last_name":"Quakernack","id":"221506"},{"full_name":"Liegmann, Fynn","first_name":"Fynn","last_name":"Liegmann","id":"231492"},{"id":"205308","full_name":"Haubrock, Jens","first_name":"Jens","last_name":"Haubrock","orcid":"0009-0000-0918-8028"}],"_id":"5557","citation":{"mla":"Schulte, Katrin, et al. “A Comparison of Machine Learning Algorithms for the Optimization of a Day-Ahead Photovoltaic Power Forecast.” <i>IEEE PES ISGT  Europe 2024 Conference Book</i>, edited by Ninoslav Holjevac et al., 2024.","ieee":"K. Schulte, L. Engel, L. Quakernack, F. Liegmann, and J. Haubrock, “A comparison of machine learning algorithms for the optimization of a day-ahead photovoltaic power forecast,” in <i>IEEE PES ISGT  Europe 2024 Conference book</i>, Dubrovnik, Croatia, 2024.","alphadin":"<span style=\"font-variant:small-caps;\">Schulte, Katrin</span> ; <span style=\"font-variant:small-caps;\">Engel, Lars</span> ; <span style=\"font-variant:small-caps;\">Quakernack, Lars</span> ; <span style=\"font-variant:small-caps;\">Liegmann, Fynn</span> ; <span style=\"font-variant:small-caps;\">Haubrock, Jens</span>: A comparison of machine learning algorithms for the optimization of a day-ahead photovoltaic power forecast. In: <span style=\"font-variant:small-caps;\">Holjevac, N.</span> ; <span style=\"font-variant:small-caps;\">Baškarad, T.</span> ; <span style=\"font-variant:small-caps;\">Zidar, M.</span> ; <span style=\"font-variant:small-caps;\">Kuzle, I.</span> (Hrsg.): <i>IEEE PES ISGT  Europe 2024 Conference book</i>, 2024","short":"K. Schulte, L. Engel, L. Quakernack, F. Liegmann, J. Haubrock, in: N. Holjevac, T. Baškarad, M. Zidar, I. Kuzle (Eds.), IEEE PES ISGT  Europe 2024 Conference Book, 2024.","ama":"Schulte K, Engel L, Quakernack L, Liegmann F, Haubrock J. A comparison of machine learning algorithms for the optimization of a day-ahead photovoltaic power forecast. In: Holjevac N, Baškarad T, Zidar M, Kuzle I, eds. <i>IEEE PES ISGT  Europe 2024 Conference Book</i>. ; 2024.","bibtex":"@inproceedings{Schulte_Engel_Quakernack_Liegmann_Haubrock_2024, title={A comparison of machine learning algorithms for the optimization of a day-ahead photovoltaic power forecast}, booktitle={IEEE PES ISGT  Europe 2024 Conference book}, author={Schulte, Katrin and Engel, Lars and Quakernack, Lars and Liegmann, Fynn and Haubrock, Jens}, editor={Holjevac, Ninoslav and Baškarad, Tomislav  and Zidar, Matija  and Kuzle, Igor Editors}, year={2024} }","chicago":"Schulte, Katrin, Lars Engel, Lars Quakernack, Fynn Liegmann, and Jens Haubrock. “A Comparison of Machine Learning Algorithms for the Optimization of a Day-Ahead Photovoltaic Power Forecast.” In <i>IEEE PES ISGT  Europe 2024 Conference Book</i>, edited by Ninoslav Holjevac, Tomislav  Baškarad, Matija  Zidar, and Igor  Kuzle, 2024.","apa":"Schulte, K., Engel, L., Quakernack, L., Liegmann, F., &#38; Haubrock, J. (2024). A comparison of machine learning algorithms for the optimization of a day-ahead photovoltaic power forecast. In N. Holjevac, T. Baškarad, M. Zidar, &#38; I. Kuzle (Eds.), <i>IEEE PES ISGT  Europe 2024 Conference book</i>. Dubrovnik, Croatia."}}]