ScienceDirect Publication: Applied Energy rss.sciencedirect.com

Multi-dimensional comparison of integrated energy systems in UK motorway service areas under low-carbon transition: perspectives from economics, environmental p...

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Micro–macro analysis for mapping hail-induced damage in lightweight flexible photovoltaic modules

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Potential field-guided dynamic hierarchical Stackelberg game for MESS-DV synergistic power restoration under storm tide

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Multi-timescale distributed control for multi-energy virtual power plant clusters via cloud-edge collaboration

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Cross-Domain Energy Flow Digital Twin: A Dynamic-Symbiosis-Driven Framework for Multi-Energy-Flow Coordinated Regulation in Low-Carbon Systems Based on Three-Di...

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A novel multi-scale Bayesian-KAN model for PV defect detection

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Portable model predictive control service for HVAC systems using semantics-aware architecture

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Multiphysics field modeling and optimal microchannel design for transient activation processes of liquid reserve batteries

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Electric-vehicle battery second-life and recycling pathways: How economics depend on chemistry, processing, and application

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ChargeTrek: A gamified visual learning framework for EV charging in V2G systems

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Corrigendum to “Exploring climate-driven performance of floating photovoltaic systems: Energy production enhancement and evaporation reduction” [Appl. Energy 38...

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Bottom-up heat pump flexibility estimation for Swiss buildings considering monitored building data

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A tri-level framework for flexibility-enabled resilience enhancement of cyber-physical power systems with high renewable energy penetration under coordinated at...

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On the right track: Cost-optimal choices to decarbonize the European railway network

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Data-driven multi-objective optimization of performance and thermal stability in direct ammonia solid oxide fuel cells

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OmniTIEFormer: A tri-branch transformer with cross-scale transfer learning for multi-scale battery life-cycle forecasting

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Privacy-preserving utilization of distribution system flexibility for enhanced TSO-DSO interoperability: A novel machine learning-based optimal power flow appro...

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Boundary variable transfer model-based resilience improvement for collaborative cyber-physical distribution systems

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State-of-the-art machine learning applications for ship performance modeling: a comprehensive review from design and operation to maintenance and retrofit

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Chance-constrained comfort-centric loss minimization in renewable distribution grids through mutual-interest approach

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