Machine learning-driven solar irradiance prediction: advancing renewable energy in Rajasthan

Machine learning-driven solar irradiance prediction: advancing renewable energy in Rajasthan

Abstract This research explores the potential of solar power as an eco-friendly alternative to fossil fuels, focusing on Rajasthan, India. Using data from MERRA-2, researchers analysed solar irradiance and meteorological parameters to develop accurate prediction models. It is observed that for every...

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Bibliographic Details
Main Authors: Aayushi Tandon, Amit Awasthi, Kanhu Charan Pattnayak, Aditya Tandon, Tanupriya Choudhury, Ketan Kotecha
Format: Article
Language:English
Published: Springer 2025-01-01
Series:Discover Applied Sciences
Subjects:
Solar radiation
Machine learning
Performance analysis
Correlation
Random forest
Online Access:https://doi.org/10.1007/s42452-025-06490-8
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