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Social Implications of Cyber-Physical Systems in Electrical Load Forecasting., , , , , , и . CASE, стр. 582-587. IEEE, (2020)A Framework of Decentralized Electricity Market Based on The Collaborative Mechanism of Blockchain and Edge Computing., , , , , , , и . SOLI, стр. 219-223. IEEE, (2019)A Trustworthy Framework of Artificial Intelligence for Power Grid Dispatching Systems., , , и . DTPI, стр. 418-421. IEEE, (2021)Designing Decentralized Power Market with Token Incentive Mechanism., , , и . DTPI, стр. 5-8. IEEE, (2021)Residential Short Term Load Forecasting Based on Federated Learning., , , , , и . DTPI, стр. 1-6. IEEE, (2022)Applications of Digital Twin System in a Smart City System with Multi-Energy., , , , , и . DTPI, стр. 58-61. IEEE, (2021)Characterizing the Propagation of Situational Information in Social Media During COVID-19 Epidemic: A Case Study on Weibo., , , , , , , , и . IEEE Trans. Comput. Soc. Syst., 7 (2): 556-562 (2020)Explainable AI in Deep Reinforcement Learning Models for Power System Emergency Control., , , , и . IEEE Trans. Comput. Soc. Syst., 9 (2): 419-427 (2022)Short-Term State Electricity Load Forecasting Based on Transfer-Informer., , , , , и . DTPI, стр. 1-6. IEEE, (2022)Evolutionary Deep Reinforcement Learning for Volt-VAR Control in Distribution Network., , , , , и . DTPI, стр. 1-6. IEEE, (2022)