Neural Network Models for Solar Irradiance Forecasting in Polluted Areas: A Comparative Study

ABSTRACT Increasing global energy demand and renewable energy expansion have heightened the importance of accurate solar irradiance forecasting for effective grid management and capacity planning. Atmospheric pollution significantly affects solar irradiance measurements, requiring air quality integr...

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Detalhes bibliográficos

Principais autores:	Mujtaba Ali, Muhammad Yaqoob Javed, Aamer Bilal Asghar, Khurram Hashmi, Abbas Javed, Basem Alamri, Krzysztof Ejsmont
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Wiley 2026-02-01
coleção:	Energy Science & Engineering
Assuntos:	air quality index feed‐forward neural networks nonlinear autoregressive networks recurrent neural networks solar irradiance
Acesso em linha:	https://doi.org/10.1002/ese3.70393
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