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20212026
most citedA Data-Driven Uncertainty Quantification Method for Stochastic Economic Dispatch

5 citations · 5 across the 7 of their papers we have counts for

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eess.SY2026

Data-Driven Privacy-Preserving Modeling and Frequency Regulation with Aggregated Electric Vehicles via Bilinear Hidden Markov Model

Yiping Liu, Xiaozhe Wang, Geza Joos

Vehicle-to-Grid (V2G) technology allows bidirectional power flow for real-time grid support, making electric vehicles (EVs) well-suited for ancillary services such as frequency reg…

eess.SY2023

Modeling False Data Injection Attacks in Integrated Electricity-Gas Systems

Rong-Peng Liu, Xiaozhe Wang, Zuyi Li +1

This work studies the modeling of false data injection attacks (FDIAs) in integrated electricity-gas systems (IEGSs). First, we introduce a static state estimation model and bad da…