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–...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Ming-Tang Tsai, I-Cheng Lo
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-11-01
Colecção:	Energies
Assuntos:	solar irradiance forecasting Long Short-Term Memory (LSTM) SHAP values feature selection
Acesso em linha:	https://www.mdpi.com/1996-1073/18/23/6099
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!