Application of Long Short-Term Memory Networks and SHAP Evaluation in the Solar Radiation Forecast

This paper proposes a hybrid forecasting framework that combines Long Short-Term Memory (LSTM) networks with Shapley Additive Explanations (SHAPs) to quickly and accurately predict solar radiation. Historical meteorological data from the Central Weather Administration (CWA) in Taiwan, spanning 2018–...

Descripció completa

Dades bibliogràfiques

Autors principals:	Ming-Tang Tsai, I-Cheng Lo
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2025-11-01
Col·lecció:	Energies
Matèries:	solar irradiance forecasting Long Short-Term Memory (LSTM) SHAP values feature selection
Accés en línia:	https://www.mdpi.com/1996-1073/18/23/6099
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!