activity
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

collaborators

12 papers

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…

eess.SY2024★ 302 cited

A Novel Combined Data-Driven Approach for Electricity Theft Detection

Kedi Zheng, Qixin Chen, Yi Wang +2

The two-way flow of information and energy is an important feature of the Energy Internet. Data analytics is a powerful tool in the information flow that aims to solve practical pr…

eess.SY2024★ 29 cited

Coherent Hierarchical Probabilistic Forecasting of Electric Vehicle Charging Demand

Kedi Zheng, Hanwei Xu, Zeyang Long +2

The growing penetration of electric vehicles (EVs) significantly changes typical load curves in smart grids. With the development of fast charging technology, the volatility of EV…

eess.SY2024★ 3 cited

Connection-Aware P2P Trading: Simultaneous Trading and Peer Selection

Cheng Feng, Kedi Zheng, Lanqing Shan +4

Peer-to-peer (P2P) trading is seen as a viable solution to handle the growing number of distributed energy resources in distribution networks. However, when dealing with large-scal…

eess.SP2023★ 16 cited

Goal-Oriented Wireless Communication Resource Allocation for Cyber-Physical Systems

Cheng Feng, Kedi Zheng, Yi Wang +2

The proliferation of novel industrial applications at the wireless edge, such as smart grids and vehicle networks, demands the advancement of cyber-physical systems. The performanc…

eess.SY2022

Electrochemical Parameter Identification for Lithium-ion Battery Sources in Self-Sustained Transportation Energy Systems

Yuxuan Gu, Jianxiao Wang, Yuanbo Chen +3

Lithium-ion battery (LIB) sources have played an essential role in self-sustained transportation energy systems and have been widely deployed in the last few years. To realize reli…

eess.SY2021

A simplified electro-chemical lithium-ion battery model applicable for in situ monitoring and online control

Yuxuan Gu, Jianxiao Wang, Yuanbo Chen +4

The penetrations of lithium-ion batteries in transport, energy and communication systems are increasing rapidly. A meticulous model applicable for precise in-situ monitoring and co…