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–...

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Manylion Llyfryddiaeth

Prif Awduron:	Ming-Tang Tsai, I-Cheng Lo
Fformat:	Artigo
Iaith:	Inglês
Cyhoeddwyd:	MDPI AG 2025-11-01
Cyfres:	Energies
Pynciau:	solar irradiance forecasting Long Short-Term Memory (LSTM) SHAP values feature selection
Mynediad Ar-lein:	https://www.mdpi.com/1996-1073/18/23/6099
Tagiau:	Ychwanegu Tag Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!