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20212026
most citedA Novel Combined Data-Driven Approach for Electricity Theft Detection

302 citations · 483 across the 12 of their papers we have counts for

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11 papers · 1 filter

eess.SY2026★ 68 cited

Co-optimizing Bidding and Power Allocation of an EV Aggregator Providing Real-time Frequency Regulation Service

Ruike Lyu, Hongye Guo, Kedi Zheng +2

The rapidly expanding scale of electric vehicle (EV) fleets and continuously decreasing battery costs are making vehicle-to-grid services a reality. In this paper, we study the int…

eess.SY2025

Translation-Symmetric Market: Enabling Incentive Compatibility For DER Aggregation

Ruike Lyu, Chuyi Li, Kedi Zheng +3

Virtual power plants (VPPs) are important for coordinating the rapidly growing portfolios of distributed energy resources (DERs) and enabling them to deliver multiple services to h…

eess.SY2024★ 13 cited

Computation-power Coupled Modeling for IDCs and Collaborative Optimization in ADNs

Chuyi Li, Kedi Zheng, Hongye Guo +2

The batch and online workload of Internet data centers (IDCs) offer temporal and spatial scheduling flexibility. Given that power generation costs vary over time and location, harn…

eess.SY2024★ 16 cited

Optimal Energy Dispatch of Grid-Connected Electric Vehicle Considering Lithium Battery Electrochemical Model

Yuanbo Chen, Kedi Zheng, Yuxuan Gu +2

The grid-connected electric vehicles (EVs) serve as a promising regulating resource in the distribution grid with Vehicle-to-Grid (V2G) facilities. In the day-ahead stage, electric…

eess.SY2024★ 11 cited

A Data-Driven Pool Strategy for Price-Makers Under Imperfect Information

Kedi Zheng, Hongye Guo, Qixin Chen

This paper studies the pool strategy for price-makers under imperfect information. In this occasion, market participants cannot obtain essential transmission parameters of the powe…

eess.SY2024★ 25 cited

Unsupervised Congestion Status Identification Using LMP Data

Kedi Zheng, Qixin Chen, Yi Wang +2

Having a better understanding of how locational marginal prices (LMPs) change helps in price forecasting and market strategy making. This paper investigates the fundamental distrib…