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20152024
most citedDetection of False Data Injection Attacks in Smart Grid: A Secure Federated Deep Learning Approach

376 citations · 1k across the 11 of their papers we have counts for

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Showing 2023Show all

4 papers · 1 filter

eess.SY2023★ 112 cited

Enhancing Cyber-Resilience in Integrated Energy System Scheduling with Demand Response Using Deep Reinforcement Learning

Yang Li, Wenjie Ma, Yuanzheng Li +3

Optimally scheduling multi-energy flow is an effective method to utilize renewable energy sources (RES) and improve the stability and economy of integrated energy systems (IES). Ho…

eess.SY2023

Risk-aware Flexible Resource Utilization in an Unbalanced Three-Phase Distribution Network using SDP-based Distributionally Robust Optimal Power Flow

Zelong Lu, Jianxue Wang, Mohammad Shahidehpour +4

The variability caused by the proliferation of distributed energy resources (DERs) and the significant growth in unbalanced three-phase loads pose unprecedented challenges to distr…

eess.SY2023★ 1 cited

Stochastic Optimization of Coupled Power Distribution-Urban Transportation Network Operations with Autonomous Mobility on Demand Systems

Han Wang, Xiaoyuan Xu, Yue Chen +4

Autonomous mobility on demand systems (AMoDS) will significantly affect the operation of coupled power distribution-urban transportation networks (PTNs) by the optimal dispatch of…

eess.SY2023★ 261 cited

Data-Driven Distributionally Robust Scheduling of Community Integrated Energy Systems with Uncertain Renewable Generations Considering Integrated Demand Response

Yang Li, Meng Han, Mohammad Shahidehpour +2

A community integrated energy system (CIES) is an important carrier of the energy internet and smart city in geographical and functional terms. Its emergence provides a new solutio…