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Hybrid Policy Deep Reinforcement Learning-Based Robust Optimization for Emergency Dispatching of Multi-Park Integrated Energy Systems

https://doi.org/10.2139/ssrn.4568409
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Dynamic load shedding for an islanded microgrid with limited generation resources
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A Generalized LinDistFlow Model for Power Flow Analysis
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A method for evaluating the rescue priority level of power line post-disaster based on AHP
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Learning Insertion Primitives with Discrete-Continuous Hybrid Action Space for Robotic Assembly Tasks
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Resilient Operation of Distribution Grids Using Deep Reinforcement Learning
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An Identification Method for Asymmetric Faults With Line Breaks Based on Low-Voltage Side Data in Distribution Networks
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Optimal Distribution System Operation for Enhancing Resilience Against Wildfires
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Standardized Matrix Modeling of Multiple Energy Systems
inferredcites →https://doi.org/10.1109/tsg.2018.2870358openalex-extracted
Coordinated Regional-District Operation of Integrated Energy Systems for Resilience Enhancement in Natural Disasters
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Resilience Enhancement of Integrated Electricity-Gas-Heat Urban Energy System With Data Centres Considering Waste Heat Reuse
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A soft actor-critic deep reinforcement learning method for multi-timescale coordinated operation of microgrids
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