1.4k citations · 3k across the 21 of their papers we have counts for
21 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…
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…
Real-time scheduling of renewable power systems through planning-based reinforcement learning
Shaohuai Liu, Jinbo Liu, Weirui Ye +8
The growing renewable energy sources have posed significant challenges to traditional power scheduling. It is difficult for operators to obtain accurate day-ahead forecasts of rene…
Improving Sample Efficiency of Deep Learning Models in Electricity Market
Guangchun Ruan, Jianxiao Wang, Haiwang Zhong +2
The superior performance of deep learning relies heavily on a large collection of sample data, but the data insufficiency problem turns out to be relatively common in global electr…
Open-Access Data and Toolbox for Tracking COVID-19 Impact on Power Systems
Guangchun Ruan, Zekuan Yu, Shutong Pu +5
Intervention policies against COVID-19 have caused large-scale disruptions globally, and led to a series of pattern changes in the power system operation. Analyzing these pandemic-…