A novel snow conditions‐compatible computational intelligence‐based PV power forecasting approach for microgrids in snow prone regions

Abstract Energy management in a renewable energy‐based microgrid has a key role in improving energy utilisation and reducing the microgrid operation cost. The optimal energy management strategy can be significantly affected by the intermittency of renewable energies and also harsh weather conditions...

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Autori principali:	Behzad Hashemi, Shamsodin Taheri, Ana‐Maria Cretu
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Wiley 2024-06-01
Serie:	IET Smart Grid
Soggetti:	artificial intelligence and data analytics battery storage plants microgrid, nanogrid, and peer‐to‐peer energy trading photovoltaic power systems
Accesso online:	https://doi.org/10.1049/stg2.12146
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