activity
20192025
most citedPI-Controlled Variable Time-Step Power System Simulation Using an Adaptive Order Differential Transformation Method

7 citations · 10 across the 9 of their papers we have counts for

collaborators

9 papers

eess.SY2025★ 7 cited

PI-Controlled Variable Time-Step Power System Simulation Using an Adaptive Order Differential Transformation Method

Kaiyang Huang, Yang Liu, Kai Sun +1

Dynamic simulation plays a crucial role in power system transient stability analysis, but traditional numerical integration-based methods are time-consuming due to the small time s…

eess.SY2023

A Semi-Analytical Approach for State-Space Electromagnetic Transient Simulation Using the Differential Transformation

Min Xiong, Kaiyang Huang, Yang Liu +3

Electromagnetic transient (EMT) simulation is a crucial tool for power system dynamic analysis because of its detailed component modeling and high simulation accuracy. However, it…

eess.SY2023

Semi-Analytical Electromagnetic Transient Simulation Using Differential Transformation

Min Xiong, Rui Yao, Yang Liu +2

For electromagnetic transient (EMT) simulation of a power system, a state-space-based approach needs to solve state-space EMT equations by using numerical integration methods, e.g.…

stat.ME2022

Convolutional Non-homogeneous Poisson Process with Application to Wildfire Risk Quantification for Power Delivery Networks

Guanzhou Wei, Feng Qiu, Xiao Liu

The current projection shows that much of the continental U.S. will have significantly hotter and drier days in the following decades, leading to more wildfire hazards that threate…

math.DS2022

Simulation of Transients in Natural Gas Networks via A Semi-analytical Solution Approach

Xin Xu, Rui Yao, Kai Sun +1

Simulation and control of the transient flow in natural gas networks involve solving partial differential equations (PDEs). This paper proposes a semi-analytical solutions (SAS) ap…

stat.AP2022

Spatio-Temporal Wildfire Prediction using Multi-Modal Data

Chen Xu, Yao Xie, Daniel A. Zuniga Vazquez +2

Due to severe societal and environmental impacts, wildfire prediction using multi-modal sensing data has become a highly sought-after data-analytical tool by various stakeholders (…

stat.AP2021

Quantifying Grid Resilience Against Extreme Weather Using Large-Scale Customer Power Outage Data

Shixiang Zhu, Rui Yao, Yao Xie +3

In recent decades, the weather around the world has become more irregular and extreme, often causing large-scale extended power outages. Resilience -- the capability of withstandin…

stat.AP2021★ 2 cited

Solar Radiation Ramping Events Modeling Using Spatio-temporal Point Processes

Minghe Zhang, Chen Xu, Andy Sun +2

Modeling and predicting solar events, particularly the solar ramping event, is critical for improving situational awareness for solar power generation systems. It has been acknowle…

stat.OT2019★ 1 cited

Online detection of cascading change-points

Rui Zhang, Yao Xie, Rui Yao +1

We propose an online detection procedure for cascading failures in the network from sequential data, which can be modeled as multiple correlated change-points happening during a sh…