A multi-agent deep reinforcement learning based energy management for behind-the-meter resources

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Reinforcement Learning-Based Plug-in Electric Vehicle Charging with Forecasted Price

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Optimal energy management of multi-microgrids connected to distribution system based on deep reinforcement learning

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User Preference-Based Demand Response for Smart Home Energy Management Using Multiobjective Reinforcement Learning

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Optimizing the Post-Disaster Control of Islanded Microgrid: A Multi-Agent Deep Reinforcement Learning Approach

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Testbed implementation of reinforcement learning-based demand response energy management system

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A Multi-Objective Approach for Optimal Energy Management in Smart Home Using the Reinforcement Learning

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Reinforcement Learning for Building Energy Optimization Through Controlling of Central HVAC System

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Optimal Scheduling Framework of Electricity-Gas-Heat Integrated Energy System Based on Asynchronous Advantage Actor-Critic Algorithm

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Optimal Control of Microgrids with Multi-stage Mixed-integer Nonlinear Programming Guided Q-learning Algorithm

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Demand-Side Scheduling Based on Multi-Agent Deep Actor-Critic Learning for Smart Grids

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Virtual Generation Alliance Automatic Generation Control Based on Deep Reinforcement Learning

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Smart Buildings, Smart Communities and Demand Response

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Explainable AI and Multi-Agent Systems for Energy Management in IoT-Edge Environments: A State of the Art Review

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Online Distributed Coordination Operation for Grid-Interactive Efficient Residential Buildings

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Distributed control and optimization in building energy systems: a technical survey of multi-agent architectures and algorithms

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Optimal Design of Drying Process of the Potatoes with Multi-Agent Reinforced Deep Learning

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Enhancing Decision Support Systems for the Energy Sector with Sustainable Artificial Intelligence Solutions

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Real-Time Power Dispatch in Grid-Connected Microgrids using Deep Q-Learning

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Flexible Coordination Operation of Grid-Interactive Residential Buildings Based on Learning and Optimization-Assisted Search

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Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Deep Reinforcement Learning Framework

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Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Reinforcement Learning Framework

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Using Deep Reinforcement Learning in Optimal Energy Management for Residential House Aggregators with Uncertain User Behaviors

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Distributed flexible resource regulation strategy for residential communities based on deep reinforcement learning

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Multi-agent deep reinforcement learning based distributed control architecture for interconnected multi-energy microgrid energy management and optimization

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