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Mitigating the Impact of Renewable Variability With Demand-Side Resources Considering Communication and Cyber Security Limitations.

, , , , and . IEEE Access, (2019)

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Security Concerns on Machine Learning Solutions for 6G Networks in mmWave Beam Prediction., , , and . CoRR, (2021)An Experiment Orchestration Platform to Support Smart City Experiential Learning., , , , , and . ISC2, page 1-7. IEEE, (2022)An Interpretable Solar Photovoltaic Power Generation Forecasting Approach Using An Explainable Artificial Intelligence Tool., , , , and . ISGT, page 1-5. IEEE, (2021)A data-driven approach for quantifying energy savings in a smart building., , , , and . ISGT, page 1-5. IEEE, (2017)Demand response implementation in a home area network: A conceptual hardware architecture., , and . ISGT, page 1-8. IEEE, (2012)BFV-Based Homomorphic Encryption for Privacy-Preserving CNN Models., , , and . Cryptogr., 6 (3): 34 (2022)Load Profiles of Selected Major Household Appliances and Their Demand Response Opportunities., , , and . IEEE Trans. Smart Grid, 5 (2): 742-750 (2014)A Cryptographic Federated Learning-Based Channel Estimation for Next-Generation Networks., and . VCC, page 92-97. IEEE, (2023)Contribution of Blockchain Technology In Energy to the Climate Change Efforts., , , , , , , and . ISGT, page 1-5. IEEE, (2023)Day-ahead Load Forecasting using Explainable Artificial Intelligence., , , and . ISGT, page 1-5. IEEE, (2022)