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@article{179541,
        author = {Shivam Dhawan and Raghunandan Singh Baghel},
        title = {A Review paper on study & analysis of wind speed & solar irradiation forecasting using different machine learning techniques},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {8373-8376},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=179541},
        abstract = {The increasing adoption of renewable 
energy sources like solar and wind power poses 
challenges to grid stability due to their intermittent 
nature. To address these challenges, advanced 
forecasting techniques are being developed to predict 
wind speeds and solar irradiance. This study reviews 
the importance of forecasting in power systems, 
discusses various forecasting approaches, and assesses 
their performance. Additionally, it explores methods to 
improve forecast accuracy and highlights key issues 
and emerging trends in the field.},
        keywords = {Solar irradiation, Solar PV, Renewable  energy},
        month = {May},
        }