Unlocking renewable energy potential: Harnessing machine learning and intelligent algorithms
Thanh Tuan Le,
Prabhu Paramasivam,
Elvis Adril
et al.
Abstract:This review article examines the revolutionary possibilities of machine learning (ML) and intelligent algorithms for enabling renewable energy, with an emphasis on the energy domains of solar, wind, biofuel, and biomass. Critical problems such as data variability, system inefficiencies, and predictive maintenance are addressed by the integration of ML in renewable energy systems. Machine learning improves solar irradiance prediction accuracy and maximizes photovoltaic system performance in the solar energy sec… Show more
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