AI‐Driven Optimization of a Hybrid PV–Wind–BESS Microgrid for a Rural Educational Institution in Developing Countries

ABSTRACT Hybrid renewable microgrid planning in HOMER Pro often relies on outdated meteorological data sets, which can lead to inaccurate component sizing and misestimation of economic performance under future climatic conditions. This study develops a forecasting‐integrated optimization framework f...

Descripció completa

Dades bibliogràfiques

Autors principals:	Robiul Khan, Md. Wajed Ali, Md. Feroz Ali, Md. Shafiul Alam, Mohammad Ali, Imil Hamda Imran
Format:	Artigo
Idioma:	Inglês
Publicat:	Wiley 2026-06-01
Col·lecció:	Energy Science & Engineering
Matèries:	CNN–LSTM forecasting emission reduction hybrid microgrid renewable‐energy technoeconomic analysis
Accés en línia:	https://doi.org/10.1002/ese3.70509
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!