Federated learning and non-federated learning based power forecasting of photovoltaic/wind power energy systems: A systematic review

Renewable energy sources, particularly photovoltaic and wind power, are essential in meeting global energy demands while minimising environmental impact. Accurate photovoltaic (PV) and wind power (WP) forecasting is crucial for effective grid management and sustainable energy integration. However, t...

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Principais autores:	Ferial ElRobrini, Syed Muhammad Salman Bukhari, Muhammad Hamza Zafar, Nedaa Al-Tawalbeh, Naureen Akhtar, Filippo Sanfilippo
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Elsevier 2024-12-01
סדרה:	Energy and AI
נושאים:	Privacy-preserving Federated learning Transfer learning PV power forecasting Wind power forecasting Deep learning
גישה מקוונת:	http://www.sciencedirect.com/science/article/pii/S2666546824001046
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