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Author

Rohit Kumar

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Open access Oct 2026

Machine Learning-Based Forecasting of Hybrid Wind–Solar Energy Generation For Sustainable Grid Integration

Integrating renewable energy into power grids requires precise energy forecasting for each area. This study designed a physics-informed machine learning model to predict combined wind and solar power in Punjab, with 60,909 data points (April 2021–August 2025) obtained from five meteorological stations hourly data telem...

Neha Dhiman, Narinder Kumar, Silla Ann Regi et al. · 0 citations

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