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Convolutional Neural Networks for Automatic State-Time Feature Extraction in Reinforcement Learning Applied to Residential Load Control
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Review on the research and practice of deep learning and reinforcement learning in smart grids
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Deep reinforcement learning for power system: An overview
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Review of learning-assisted power system optimization
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Autonomous charging of electric vehicle fleets to enhance renewable generation dispatchability
inferred← citeshttps://doi.org/10.2139/ssrn.4090508openalex-snapshot
Computationally Efficient Joint Coordination of Multiple Electric Vehicle Charging Points Using Reinforcement Learning
inferred← citeshttps://doi.org/10.26481/dis.20230425dsopenalex-snapshot
Learning state-action features for general game playing
inferred← citeshttps://doi.org/10.3389/fenrg.2022.976294openalex-snapshot
Edge intelligence enabled optimal scheduling with distributed price-responsive load for regenerative electric boilers
inferred← citeshttps://doi.org/10.3390/buildings15040648openalex-snapshot
Machine Learning Applications in Building Energy Systems: Review and Prospects
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An Improved Deep Reinforcement Learning Method for Dispatch Optimization Strategy of Modern Power Systems
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Overview of Signal Processing and Machine Learning for Smart Grid Condition Monitoring
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Electrical Vehicle Charging Services Planning and Operation with Interdependent Power Networks and Transportation Networks: A Review of the Current Scenario and Future Trends
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Real-Time Autonomous Residential Demand Response Management Based on Twin Delayed Deep Deterministic Policy Gradient Learning
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Reinforcement Learning: Theory and Applications in HEMS
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Review of Big Data Analytics for Smart Electrical Energy Systems
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Multihousehold Load Forecasting Based on a Convolutional Neural Network Using Moment Information and Data Augmentation
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A Parallel Framework for Fast Charge/Discharge Scheduling of Battery Storage Systems in Microgrids
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Power System Operation Mode Calculation Based on Improved Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.3390/s23167216openalex-snapshot
Optimal Reactive Power Dispatch in ADNs using DRL and the Impact of Its Various Settings and Environmental Changes
inferred← citeshttps://doi.org/10.36227/techrxiv.12895337openalex-snapshot
Review of Learning-Assisted Power System Optimization
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Review of Learning-Assisted Power System Optimization
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Week-ahead Forecasting of Household Energy Consumption Using CNN and Multivariate Data
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DRL: Deep Reinforcement Learning for Intelligent Robot Control -- Concept, Literature, and Future
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PowerGridworld: A Framework for Multi-Agent Reinforcement Learning in Power Systems
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Robust, Deep, and Reinforcement Learning for Management of Communication and Power Networks
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Bio-Inspired Algorithms and Artificial Neural Networks Applied to Smart Load Management Systems to Optimize Energy Usage
inferred← citeshttps://doi.org/10.53730/ijhs.v6ns3.6851openalex-snapshot
Recognition efficiency enhancement of control chart pattern using ensemble MLP neural network
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