ENHANCING SOLAR RADIATION FORECASTING WITH MACHINE LEARNING

Authors

  • Dr. N. Murali Krishna,Mrs.Ch.Yamini ,MD.AbdulMuqeeth,M.Akshay Reddy,K.Akhila Devi

Keywords:

Solar radiation forecasting · Renewable energy · Support Vector Machine (SVM) · K-Nearest Neighbors (KNN) · Decision Tree (DT) · Logistic Regression (LR) · Mean Absolute Error (MAE) · Root Mean Squared Error (RMSE) · R² score · Machine learning.

Abstract

Accurate solar radiation forecasting is acornerstone for optimizing renewable energy systems and ensuring stable integration of photovoltaic (PV) power intomodern smart grids. Traditional methods

References

Machine Learning Algorithms for Solar Irradiance Prediction: A Recent Comparative Study.https://www.sciencedirect.com/science/article/pii/S2772671124000354

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Published

2024-10-15

How to Cite

Dr. N. Murali Krishna,Mrs.Ch.Yamini ,MD.AbdulMuqeeth,M.Akshay Reddy,K.Akhila Devi. (2024). ENHANCING SOLAR RADIATION FORECASTING WITH MACHINE LEARNING . Journal of Computational Analysis and Applications (JoCAAA), 33(08), 2465–2472. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4361

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Articles