A secure forecasting-aided state estimation framework for power distribution systems against false data injection attacks
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DOI: 10.1016/j.apenergy.2022.120107
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- Tang, Liangyu & Han, Yang & Zalhaf, Amr S. & Zhou, Siyu & Yang, Ping & Wang, Congling & Huang, Tao, 2024. "Resilience enhancement of active distribution networks under extreme disaster scenarios: A comprehensive overview of fault location strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
- Islam, Md. Zahidul & Lin, Yuzhang & Vokkarane, Vinod M. & Yu, Nanpeng, 2023. "Robust learning-based real-time load estimation using sparsely deployed smart meters with high reporting rates," Applied Energy, Elsevier, vol. 352(C).
- Wang, Jingyao & Li, Yao & Bian, Jiayu & Yu, Zhiyong & Zhang, Min & Wang, Cheng & Bi, Tianshu, 2023. "Multi-stage resilient operation strategy of urban electric–gas system against rainstorms," Applied Energy, Elsevier, vol. 348(C).
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Keywords
Distribution system; Forecasting-aided state estimation; Data security; False data injection attack; Renewable energy;All these keywords.
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