Hybrid Knowledge and Data-Driven Hydrogen Trading for Renewable-Dominated Hydrogen Refueling Stations

This paper proposes a hybrid knowledge and data-driven predict-then-optimize paradigm for green hydrogen (H2) trading among renewable-dominated hydrogen refueling stations (HRSs). Firstly, a data-driven H2 load forecasting method is formulated where the key influencing features are captured by XGBoo...

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Veröffentlicht in:	IEEE transactions on industry applications 2024-12, p.1-15
Hauptverfasser:	Zhang, Kuan, Xie, Junyu, Liu, Nian
Format:	Artikel
Sprache:	eng
Schlagworte:	Carbon Carbon dioxide Costs electricity-hydrogen coordination Electrochemical processes Fuels Hydrogen hydrogen refueling station Hydrogen trading knowledge and data-driven Optimization Pipelines Predictive models Production renewable energy
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