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Improving the energy efficiency of regional integrated energy system containing hydrogen energy: a novel green energy flow-driven multi-dimensional cross-spatio...

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Efficient dynamic-aware deep reinforcement learning for solving capacitated electric vehicle routing problems with service time windows and time-of-use electric...

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Graphic criteria for hosting capability assessment of PV-EV-ESS in distribution networks

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Re -D5PG: reformer-driven distributed distributional deep deterministic policy gradient strategy for microgrid automatic generation control

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An evolutionary planning model for hydrogen infrastructure with state transitions and endogenous hierarchy formation: A case study of the Beijing-Tianjin-Hebei ...

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Quantifying the regional carbon impact of AI inference workloads: A grid-aware NeuroPhysical network approach

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Energy-aware batch scheduling with flexible maintenance under spot electricity pricing and onsite renewable generation

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Planning of SMR-hydrogen energy systems for dynamic ancillary service provision via a learning-based approach

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Stabilizing all-day solar-radiative thermoelectric generation by reconfigurable thermal switching and dual phase-change storage

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A modular process-based techno-economic and environmental modeling framework for Lithium-ion battery recycling

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Electrical-thermal storage trade-offs in off-grid heat pump-enabled zero-carbon heating systems

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Rapid and robust parameter estimation for electrochemical battery models via BOLT: A batch-optimized local-to-global technique

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Temporal aggregation and reliability of electricity emission factors under grid decarbonization

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Degradation of polymer-electrolyte membrane fuel cells tested at 80 and 95 °C using stack hardware

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Decarbonizing biodiesel supply chains: a GREET-based life cycle assessment with Scope 1–3 emissions and best-case mitigation

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Proactive defense of multi-energy microgrids under compound meteorological hazards: an insurance-actuarial-data-driven GLUEVaR framework

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Multi-horizon power forecasting using transformer-based temporal encoding and long short-term memory decoding networks

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A data-driven stochastic dynamic retail electricity pricing of an industrial consumer considering demand response uncertainty

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Geometry-aware curation for data-efficient battery state-of-health estimation of large-scale electric vehicles

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Hierarchical symbolic regression for multi-component wind-turbine wake modeling under varying turbulence

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