[{"date_created":"2025-02-07T12:55:58Z","publication":"IEEE PES ISGT  Europe 2024 Conference book","date_updated":"2026-03-17T15:29:19Z","status":"public","language":[{"iso":"eng"}],"publication_identifier":{"isbn":["978-953-184-297-6"]},"user_id":"220548","citation":{"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","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.","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.","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} }","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.","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.","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."},"_id":"5557","editor":[{"full_name":"Holjevac, Ninoslav","last_name":"Holjevac","first_name":"Ninoslav"},{"first_name":"Tomislav ","last_name":"Baškarad","full_name":"Baškarad, Tomislav "},{"first_name":"Matija ","last_name":"Zidar","full_name":"Zidar, Matija "},{"last_name":"Kuzle","first_name":"Igor ","full_name":"Kuzle, Igor "}],"author":[{"id":"221177","full_name":"Schulte, Katrin","last_name":"Schulte","first_name":"Katrin"},{"last_name":"Engel","first_name":"Lars","full_name":"Engel, Lars"},{"id":"221506","first_name":"Lars","last_name":"Quakernack","full_name":"Quakernack, Lars"},{"id":"231492","full_name":"Liegmann, Fynn","last_name":"Liegmann","first_name":"Fynn"},{"first_name":"Jens","orcid":"0009-0000-0918-8028","last_name":"Haubrock","full_name":"Haubrock, Jens","id":"205308"}],"year":"2024","type":"conference","conference":{"start_date":"2024-10-14","location":"Dubrovnik, Croatia","name":"2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE)","end_date":"2024-10-17"},"project":[{"name":"Institut für Technische Energie-Systeme","_id":"0ec202b7-cd76-11ed-89f4-a9e1a6dbdaa7"}],"title":"A comparison of machine learning algorithms for the optimization of a day-ahead photovoltaic power forecast"}]