Data‐driven long‐term wind speed forecasting and techno‐economics of offshore wind‐to‐hydrogen production

Abstract The economic viability of offshore wind‐to‐hydrogen systems depends heavily on the accuracy of wind‐speed forecasting. We evaluated three probabilistic scenario generators (historical bootstrapping, parametric Weibull fitting, and calibrated long short‐term memory (LSTM) sequence model) usi...

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Detalhes bibliográficos

Principais autores:	Prihandono Aditama, Abdul Wasy Zia
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Wiley 2025-12-01
coleção:	Energy Conversion and Economics
Assuntos:	deep learning finance ability probabilistic wind forecasting techno‐economic wind‐to‐hydrogen
Acesso em linha:	https://doi.org/10.1049/enc2.70029
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