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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ABSTRACT Hybrid renewable microgrid planning in HOMER Pro often relies on outdated meteorological data sets, which can lead to inaccurate component sizing and misestimation of economic performance under future climatic conditions.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...

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Principais autores: Robiul Khan, Md. Wajed Ali, Md. Feroz Ali, Md. Shafiul Alam, Mohammad Ali, Imil Hamda Imran
Format: Artigo
Sprog:Inglês
Udgivet: Wiley 2026-06-01
Serier:Energy Science & Engineering
Fag:
CNN–LSTM forecasting
emission reduction
hybrid microgrid
renewable‐energy technoeconomic analysis
Online adgang:https://doi.org/10.1002/ese3.70509
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