489 citations · 997 across the 21 of their papers we have counts for
10 papers · 1 filter
Data-Driven Outage Restoration Time Prediction via Transfer Learning with Cluster Ensembles
Dingwei Wang, Yuxuan Yuan, Rui Cheng +1
This paper develops a data-driven approach to accurately predict the restoration time of outages under different scales and factors. To achieve the goal, the proposed method consis…
Mitigating Smart Meter Asynchrony Error Via Multi-Objective Low Rank Matrix Recovery
Yuxuan Yuan, Kaveh Dehghanpour, Zhaoyu Wang
Smart meters (SMs) are being widely deployed by distribution utilities across the U.S. Despite their benefits in real-time monitoring. SMs suffer from certain data quality issues;…
Distribution Grid Modeling Using Smart Meter Data
Yifei Guo, Yuxuan Yuan, Zhaoyu Wang
The knowledge of distribution grid models, including topologies and line impedances, is essential to grid monitoring, control and protection. However, this information is often una…
A Hierarchical Deep Actor-Critic Learning Method for Joint Distribution System State Estimation
Yuxuan Yuan, Kaveh Dehghanpour, Zhaoyu Wang +1
Due to increasing penetration of volatile distributed photovoltaic (PV) resources, real-time monitoring of customers at the grid-edge has become a critical task. However, this requ…
Multi-Source Data Fusion Outage Location in Distribution Systems via Probabilistic Graph Models
Yuxuan Yuan, Kaveh Dehghanpour, Zhaoyu Wang +1
Efficient outage location is critical to enhancing the resilience of power distribution systems. However, accurate outage location requires combining massive evidence received from…
Learning Latent Interactions for Event classification via Graph Neural Networks and PMU Data
Yuxuan Yuan, Zhaoyu Wang, Yanchao Wang
Phasor measurement units (PMUs) are being widely installed on power systems, providing a unique opportunity to enhance wide-area situational awareness. One essential application is…
Disaggregating Customer-level Behind-the-Meter PV Generation Using Smart Meter Data and Solar Exemplars
Fankun Bu, Kaveh Dehghanpour, Yuxuan Yuan +2
Customer-level rooftop photovoltaic (PV) has been widely integrated into distribution systems. In most cases, PVs are installed behind-the-meter (BTM), and only the net demand is r…
Learning-Based Real-Time Event Identification Using Rich Real PMU Data
Yuxuan Yuan, Yifei Guo, Kaveh Dehghanpour +2
A large-scale deployment of phasor measurement units (PMUs) that reveal the inherent physical laws of power systems from a data perspective enables an enhanced awareness of power s…
A Data-Driven Game-Theoretic Approach for Behind-the-Meter PV Generation Disaggregation
Fankun Bu, Kaveh Dehghanpour, Yuxuan Yuan +2
Rooftop solar photovoltaic (PV) power generator is a widely used distributed energy resource (DER) in distribution systems. Currently, the majority of PVs are installed behind-the-…
A Time-Series Distribution Test System Based on Real Utility Data
Fankun Bu, Yuxuan Yuan, Zhaoyu Wang +2
In this paper, we provide a time-series distribution test system. This test system is a fully observable distribution grid in Midwest U.S. with smart meters (SM) installed at all e…