Optimizing solar power efficiency in smart grids using hybrid machine learning models for accurate energy generation prediction
Muhammad Shoaib Bhutta,
Yang Li,
Muhammad Abubakar
et al.
Abstract:The fourth energy revolution is characterized by the incorporation of renewable energy supplies into intelligent networks. As the world is shifting towards cleaner energy sources, there is a need for efficient and reliable methods to predict the output of renewable energy plants. Hybrid machine learning modified models are emerging as a promising solution for energy generation prediction. Renewable energy generation plants, such as solar, biogas, hydropower plants, wind farms, etc. are becoming increasingly po… Show more
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