activity
20212024
most citedA Novel Combined Data-Driven Approach for Electricity Theft Detection

302 citations · 439 across the 7 of their papers we have counts for

collaborators

7 papers

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…

math.OC2023★ 48 cited

Non-Iterative Solution for Coordinated Optimal Dispatch via Equivalent Projection-Part II: Method and Applications

Zhenfei Tan, Zheng Yan, Haiwang Zhong +1

This two-part paper develops a non-iterative coordinated optimal dispatch framework, i.e., free of iterative information exchange, via the innovation of the equivalent projection (…

math.OC2023★ 44 cited

Non-Iterative Solution for Coordinated Optimal Dispatch via Equivalent Projection-Part I: Theory

Zhenfei Tan, Zheng Yan, Haiwang Zhong +1

Coordinated optimal dispatch is of utmost importance for the efficient and secure operation of hierarchically structured power systems. Conventional coordinated optimization method…

eess.SY2022

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…

eess.SY2021

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-…

cs.LG2021★ 45 cited

Estimating Demand Flexibility Using Siamese LSTM Neural Networks

Guangchun Ruan, Daniel S. Kirschen, Haiwang Zhong +2

There is an opportunity in modern power systems to explore the demand flexibility by incentivizing consumers with dynamic prices. In this paper, we quantify demand flexibility usin…

physics.soc-ph2021

Quantitative Assessment of U.S. Bulk Power Systems and Market Operations during COVID-19

Guangchun Ruan, Jiahan Wu, Haiwang Zhong +2

Starting in early 2020, the novel coronavirus disease (COVID-19) severely affected the U.S., causing substantial changes in the operations of bulk power systems and electricity mar…