ScienceDirect Publication: Applied Energy rss.sciencedirect.com

How energy management strategy shapes optimal microgrid design: A comparative analysis for EV charging stations

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Load restoration strategy for post-disaster distribution networks considering cyber-physical-traffic coupling with multi-resource collaboration

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A review of congestion management methods for power distribution networks: Current practices and future challenges

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Mapping price dynamics across electricity market designs: A functional data approach with STL decomposition

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Integrating green hydrogen production and electrical energy storage in energy communities under uncertainty

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Coordinated frequency regulation of fixed-variable speed pumped storage hybrid systems: an adaptive control framework integrating dynamic prediction and rolling...

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Heterogeneous attention-driven deep reinforcement learning for solving EVRPs with pickup-delivery and time windows

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Challenges and applications of hosting capacity analysis in DER-rich power systems

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Lightweight and efficient tubular SOFC design for UAV applications: multi-physics modeling and performance optimization

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Enhancing power grid resilience through weather-aware security constraints: A deep reinforcement learning approach with hybrid CNN-GRU architecture

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Decision-focused learning integrated with data-driven robust optimization for energy management

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Nationwide insights on solar deployment trends and spatial inequalities revealed by vision transformer models

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Machine learning-enabled mapping of techno-economic and environmental performance for passive envelope systems towards low-energy medium office buildings in Chi...

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Design trade-offs for residential retail tariffs and virtual power plants

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A comprehensive review of deep learning for solar nowcasting: Enhancing accuracy, reliability, and interpretability

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A capacity renting framework for shared energy storage considering peer-to-peer energy trading among prosumers with privacy protection

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Aligning quantum kernels for detecting false data injection attacks in power systems

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Turbulence modeling and machine learning for performance optimization of solar air heaters: State-of-the-art and future directions

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Prediction driven control of a gas turbine–battery hybrid power plant providing an ancillary service

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Improving real-world execution of optimized trading schedules for large-scale battery storage systems through data-driven component parametrization

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