1.4k citations · 1.7k across the 7 of their papers we have counts for
7 papers
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…
Data-driven Power Flow Linearization: Theory
Mengshuo Jia, Gabriela Hug, Ning Zhang +3
This two-part tutorial dives into the field of data-driven power flow linearization (DPFL), a domain gaining increased attention. DPFL stands out for its higher approximation accur…
Data-driven Power Flow Linearization: Simulation
Mengshuo Jia, Gabriela Hug, Ning Zhang +3
Building on the theoretical insights of Part I, this paper, as the second part of the tutorial, dives deeper into data-driven power flow linearization (DPFL), focusing on comprehen…
Fast Power System Cascading Failure Path Searching with High Wind Power Penetration
Yuxiao Liu, Yi Wang, Pei Yong +3
Cascading failures have become a severe threat to interconnected modern power systems. The ultrahigh complexity of the interconnected networks is the main challenge toward the unde…
Review of Smart Meter Data Analytics: Applications, Methodologies, and Challenges
Yi Wang, Qixin Chen, Tao Hong +1
The widespread popularity of smart meters enables an immense amount of fine-grained electricity consumption data to be collected. Meanwhile, the deregulation of the power industry,…
Combining Probabilistic Load Forecasts
Yi Wang, Ning Zhang, Yushi Tan +3
Probabilistic load forecasts provide comprehensive information about future load uncertainties. In recent years, many methodologies and techniques have been proposed for probabilis…