7 papers
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…
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…
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…
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…
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…
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…