2023
DOI: 10.21203/rs.3.rs-2801060/v1
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Comparison and Statistical analysis of various machine learning techniques for daily prediction of solar GHI representing India’s overall solar radiation

Abstract: Solar energy integration into the grid is a significant challenge because of its varying and unpredictable nature. Therefore, accurate solar energy prediction is vital in ensuring grid stability. To achieve this, the present study uses machine and deep learning methods to estimate the solar global horizontal irradiance. This study aims to predict daily solar GHI for four Indian states (Rajasthan, Madhya Pradesh, Assam, and Meghalaya) with different solar radiation distributions ranging from very high to very l… Show more

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