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Dresden: Technische Universität Dresden, Professur für Technische Logistik ; 2025. doi:<a href=\"https://doi.org/10.25368/2025.247\">10.25368/2025.247</a>","mla":"Schipper, Lennart, and Christian Schwede. “Automated Adaptation of Digital Twins for Production Line Design by Adapting Existing Models Through LLM-Guided Expert Interviews.” <i>Simulation in Produktion Und Logistik 2025</i>, edited by Sebastian  Rank  et al., Technische Universität Dresden, Professur für Technische Logistik , 2025, doi:<a href=\"https://doi.org/10.25368/2025.247\">10.25368/2025.247</a>."},"place":"Dresden","status":"public","conference":{"name":"21. ASIM-Fachtagung Simulation in Produktion und Logistik","location":"Dresden","end_date":"2025-09-26","start_date":"2025-09-24"},"doi":"10.25368/2025.247","date_updated":"2026-03-17T15:29:34Z","publisher":"Technische Universität Dresden, Professur für Technische Logistik "},{"_id":"6654","year":"2025","language":[{"iso":"eng"}],"doi":"10.1109/PowerTech59965.2025.11180566","date_updated":"2026-03-17T15:29:33Z","page":"1-6","publisher":"IEEE","citation":{"mla":"Schulte, Katrin, et al. “Reducing Forecast Errors of a Day-Ahead Photovoltaic Power Forecast by Ensemble Learning.” <i>2025 IEEE Kiel PowerTech</i>, IEEE, 2025, pp. 1–6, doi:<a href=\"https://doi.org/10.1109/PowerTech59965.2025.11180566\">10.1109/PowerTech59965.2025.11180566</a>.","ama":"Schulte K, Ebenzer Anitha A, Haubrock J. Reducing forecast errors of a day-ahead photovoltaic power forecast by ensemble learning. In: <i>2025 IEEE Kiel PowerTech</i>. IEEE; 2025:1-6. doi:<a href=\"https://doi.org/10.1109/PowerTech59965.2025.11180566\">10.1109/PowerTech59965.2025.11180566</a>","short":"K. Schulte, A. Ebenzer Anitha, J. Haubrock, in: 2025 IEEE Kiel PowerTech, IEEE, 2025, pp. 1–6.","chicago":"Schulte, Katrin, Angellina  Ebenzer Anitha, and Jens Haubrock. “Reducing Forecast Errors of a Day-Ahead Photovoltaic Power Forecast by Ensemble Learning.” In <i>2025 IEEE Kiel PowerTech</i>, 1–6. IEEE, 2025. <a href=\"https://doi.org/10.1109/PowerTech59965.2025.11180566\">https://doi.org/10.1109/PowerTech59965.2025.11180566</a>.","alphadin":"<span style=\"font-variant:small-caps;\">Schulte, Katrin</span> ; <span style=\"font-variant:small-caps;\">Ebenzer Anitha, Angellina </span> ; <span style=\"font-variant:small-caps;\">Haubrock, Jens</span>: Reducing forecast errors of a day-ahead photovoltaic power forecast by ensemble learning. 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