activity
20172020
most citedFault Location in Power Distribution Systems via Deep Graph Convolutional Networks

327 citations · 503 across the 6 of their papers we have counts for

collaborators

7 papers

eess.SP2020★ 19 cited

Fault Detection for Covered Conductors With High-Frequency Voltage Signals: From Local Patterns to Global Features

Kunjin Chen, Tomáš Vantuch, Yu Zhang +2

The detection and characterization of partial discharge (PD) are crucial for the insulation diagnosis of overhead lines with covered conductors. With the release of a large dataset…

eess.SP2019★ 146 cited

Scale- and Context-Aware Convolutional Non-intrusive Load Monitoring

Kunjin Chen, Yu Zhang, Qin Wang +3

Non-intrusive load monitoring addresses the challenging task of decomposing the aggregate signal of a household's electricity consumption into appliance-level data without installi…

cs.LG2018★ 327 cited

Fault Location in Power Distribution Systems via Deep Graph Convolutional Networks

Kunjin Chen, Jun Hu, Yu Zhang +2

This paper develops a novel graph convolutional network (GCN) framework for fault location in power distribution networks. The proposed approach integrates multiple measurements at…

physics.plasm-ph2018★ 2 cited

Predicting Streamer Discharge Front Splitting by Ionization Seed Profiling

Yujie Zhu, Xuewei Zhang, Chijie Zhuang +2

Previous studies of streamer discharge branching mechanisms have mainly been generative other than predictive. To predict or even control branching, a reliable connection between e…

stat.ML2018

Convolutional Sequence to Sequence Non-intrusive Load Monitoring

Kunjin Chen, Qin Wang, Ziyu He +3

A convolutional sequence to sequence non-intrusive load monitoring model is proposed in this paper. Gated linear unit convolutional layers are used to extract information from the…

stat.ML2018

Short-term Load Forecasting with Deep Residual Networks

Kunjin Chen, Kunlong Chen, Qin Wang +3

We present in this paper a model for forecasting short-term power loads based on deep residual networks. The proposed model is able to integrate domain knowledge and researchers' u…

cs.CE2017★ 9 cited

A Fast Tree Algorithm for Electric Field Calculation in Electrical Discharge Simulations

Chijie Zhuang, Yong Zhang, Xin Zhou +3

The simulation of electrical discharges has been attracting a great deal of attention. In such simulations, the electric field computation dominates the computational time. In this…