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Joint optimization of electric bus operation and battery charging considering renewable microgrid interactions

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Risk-aware pre-deployment, information-quality-driven defense, and stage-coupled recovery for airport integrated energy systems against multi-type cyberattacks

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An online safety-aware deep reinforcement learning-based method for flexible support of distributed energy resources in distribution networks

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Physics-aware visual prompting for ultra-short-term photovoltaic forecasting: A multimodal fusion method based on satellite imagery

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Phase-change-material-enhanced thermal management for stable solar hydrogen production: Mechanism and operational behaviour

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A pattern-based heliostat field layout generation method with gradient-weighted azimuthal compression and inter-row optical avoidance

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Cultural heritage as a structural modifier of rooftop solar deployment: A building-level framework for heritage-constrained urban decarbonisation

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Counterfactual load forecasting with LLM-structured events and representation learning

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Constraint learning-based optimal operation of district cooling systems with distributed water thermal energy storage

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Dual-mode resilient dispatch for V2G systems with PBT-enhanced multi-agent deep reinforcement learning

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Understanding global social acceptance of hydrogen technologies: trust, adoption barriers, and policy insights from an international survey

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Optimizing the configuration and capacity of flexibility retrofits in multiple power plants using a bi-level optimization approach

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A novel yawed wake model capturing full-wake heterogeneity with application to layout-yaw co-optimization in utility-scale wind farms

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Coordinated scheduling of a hydro-PV-hybrid energy storage system considering operational safety constraints and lifetime degradation

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Toward intelligent and resilient green hydrogen production: Digital twin technologies for AWE, AEM, PEMWE, and SOEC electrolysis systems and future perspectives

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Electricity market reform proposals through the lens of the energy trilemma: A state-of-the-art review

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Spatio-temporal heterogeneous graph-based modeling and temperature prediction for data center indoor system

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A reliability-guided supervision and trajectory learning framework for health monitoring and Long-term prognostics of electric vehicle battery packs from field ...

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Causal inference multi-agent reinforcement learning for energy-efficient HVAC control in multi-zone buildings

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A DSSR-based observation approach for distribution systems

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