A Novel Deep Reinforcement Approach for IIoT Microgrid Energy Management Systems

IEEE Transactions on Green Communications and Networking(2022)

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摘要
Introducing Deep Learning in the Industrial Internet of Things (IIoT) brings many benefits, such as network resilience and bandwidth usage reduction. In this work, we propose an innovative reinforcement learning architecture to implement distributed energy management systems for microgrids. The architecture is based on novel reinforcement learning and on time series prediction. The designed reinfo...
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关键词
Reinforcement learning,Microgrids,Energy management systems,Time series analysis,Costs,Recurrent neural networks,Prediction algorithms
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