ScienceDirect Publication: Applied Energy rss.sciencedirect.com

Graph-based multi-agent reinforcement learning with an enriched environment for joint ride-sharing and charging optimization

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On-demand electro-/thermo-chromic smart windows with self-adaptive sensible heat storage for multimode synergistic building energy conservation

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Catalyst design and machine learning for thermocatalytic CO₂ methanation: A review

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Hybrid game-based dispatch for 5G BS-BSC synergy in distribution networks

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Joint optimization of charging infrastructure and fleet mix for CO₂-constrained feeder services

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A hierarchical resilient economic dispatch strategy for multi-energy system under DoS attacks

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The flexibility dilemma―managing cost and emissions in a fossil fuel-dominated power sector under increasing penetration of variable renewable energy sources

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Optimal operation of grid-friendly megawatt-level ultra-fast EV charging stations: A review on constraints, objectives and algorithms for grid-interactive opera...

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Physics-informed baseline load estimation for high-frequency demand response

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QSTAformer: A quantum-enhanced Transformer for robust short-term voltage stability assessment against adversarial attacks

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Diagnosing inconsistencies in battery energy storage systems: A framework integrating electrical, thermal, and aging perspectives

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Hydrogen-electricity hybrid-energy system with superconducting-battery energy storage for urban rail transit: design, case study, and techno-economic analysis

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Optimal operation strategy for building users considering asynchronous information release in multi-type demand response markets to mitigate building-grid inter...

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Adaptive optimization algorithms for scheduling multiple battery energy storage systems in complex grid scenarios

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Blockchain-based network-constrained peer-to-peer energy trading in a reconfigurable distribution network

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An integrated architecture for fixed truck assignment optimization in open-pit mines: Synergistic optimization, hybrid modeling, and multi-objective optimizatio...

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Fuel cell electric long-haul truck evaluation for sustainable transport via a novel Pythagorean fuzzy sets-driven tool

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Optimization scheduling model incorporating multivariate trapezoidal fuzzy parameters under wind power fluctuation patterns classification

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Flexible operation of virtual power plant enabled integrated electricity-heating system under multiple uncertainties via distributionally robust model predictiv...

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Deep reinforcement learning for energy-efficient thermal management in 2U air-cooled server systems

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