Short-Term Solar and Wind Power Forecasting Using Machine Learning Algorithms for Microgrid Operation

Accurate short-term forecasting of renewable energy sources is essential for stable and efficient microgrid operation. Existing models primarily focus on either solar or wind prediction, often neglecting their combined stochastic behavior within isolated systems. This study presents a comparative ev...

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Hlavní autoři:	Vidhi Rajeshkumar Patel, Havva Sena Cakar, Mohsin Jamil
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2026-01-01
Edice:	Energies
Témata:	short-term forecasting machine learning microgrid optimization renewable energy integration Random Forest LSTM
On-line přístup:	https://www.mdpi.com/1996-1073/19/2/550
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