Photovoltaic solar energy prediction using the seasonal-trend decomposition layer and ASOA optimized LSTM neural network model

Photovoltaic solar energy prediction using the seasonal-trend decomposition layer and ASOA optimized LSTM neural network model

Abstract As the global energy demand continues to produce, photovoltaic (PV) solar energy has emerged as a key Renewable Energy Source (RES) due to its sustainability and potential to reduce dependence on fossil fuels. However, accurate forecasting of Solar Energy (SE) output remains a significant c...

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Bibliographic Details
Main Authors: Venkatachalam Mohanasundaram, Balamurugan Rangaswamy
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Photovoltaic solar energy
Energy prediction model
Long short-term memory
Adaptive seagull optimisation
Accuracy
Online Access:https://doi.org/10.1038/s41598-025-87625-0
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