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A Resource Allocation Scheme for Energy Demand Management in 6G-enabled Smart Grid. (arXiv:2207.00154v1 [cs.NI])
July 4, 2022, 1:20 a.m. | Shafkat Islam, Ioannis Zografopoulos, Md Tamjid Hossain, Shahriar Badsha, Charalambos Konstantinou
cs.CR updates on arXiv.org arxiv.org
Smart grid (SG) systems enhance grid resilience and efficient operation,
leveraging the bidirectional flow of energy and information between generation
facilities and prosumers. For energy demand management (EDM), the SG network
requires computing a large amount of data generated by massive
Internet-of-things (IoT) sensors and advanced metering infrastructure (AMI)
with minimal latency. This paper proposes a deep reinforcement learning
(DRL)-based resource allocation scheme in a 6G-enabled SG edge network to
offload resource-consuming EDM computation to edge servers. Automatic resource
provisioning …
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