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An Artificial Intelligence Driven Method for Power System Control Based on the Cloud-Edge Collaboration Architecture.

, , , , , , and . DTPI, page 1-4. IEEE, (2022)

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Residential Short Term Load Forecasting Based on Federated Learning., , , , , and . DTPI, page 1-6. IEEE, (2022)Applications of Digital Twin System in a Smart City System with Multi-Energy., , , , , and . DTPI, page 58-61. IEEE, (2021)A Framework of Decentralized Electricity Market Based on The Collaborative Mechanism of Blockchain and Edge Computing., , , , , , , and . SOLI, page 219-223. IEEE, (2019)Social Implications of Cyber-Physical Systems in Electrical Load Forecasting., , , , , , and . CASE, page 582-587. IEEE, (2020)A Trustworthy Framework of Artificial Intelligence for Power Grid Dispatching Systems., , , and . DTPI, page 418-421. IEEE, (2021)Designing Decentralized Power Market with Token Incentive Mechanism., , , and . DTPI, page 5-8. IEEE, (2021)Evolutionary Deep Reinforcement Learning for Volt-VAR Control in Distribution Network., , , , , and . DTPI, page 1-6. IEEE, (2022)Short-Term State Electricity Load Forecasting Based on Transfer-Informer., , , , , and . DTPI, page 1-6. IEEE, (2022)Wind Power Scenario Generation Based on Denoising Diffusion Probabilistic Model., , , , and . SMC, page 4525-4529. IEEE, (2023)Mid-Long Term Electricity Consumption Forecasting Analysis Based on Cyber-Physical-Social System Architecture., , , , , , , and . CASE, page 564-569. IEEE, (2020)