Elastic net with Bayesian Density Estimation model for feature selection for photovoltaic energy prediction

Elastic net with Bayesian Density Estimation model for feature selection for photovoltaic energy prediction

Abstract Accurate forecasting of photovoltaic (PV) generated electricity is essential for efficiently managing and integrating Renewable Energy (RE) into electricity distribution systems. This research investigation optimizes Feature Selection (FS) and prediction results for PV energy prediction by...

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Bibliographic Details
Main Authors: Venkatachalam Mohanasundaram, Balamurugan Rangaswamy
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Renewable energy
Photovoltaic
Elastic net
Bayesian density estimation
Energy prediction model
Accuracy
Online Access:https://doi.org/10.1038/s41598-025-92633-1
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https://doi.org/10.1038/s41598-025-92633-1

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