1.4k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Tsinghua UniversityCN19 papers
- Argonne National LaboratoryUS2 papers
- University of North Carolina at CharlotteUS2 papers
- University of Tennessee at KnoxvilleUS2 papers
- University of WashingtonUS2 papers
- Beijing Jiaotong UniversityCN1 paper
- Beijing National Research Center for Information Science and TechnologyCN1 paper
- California Institute of TechnologyUS1 paper
- Chinese University of Hong KongHK1 paper
- École Polytechnique Fédérale de LausanneCH1 paper
- Electric Power Research InstituteUS1 paper
- INESC TECPT1 paper
6 papers · 1 filter
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…
Planning Low-Carbon Campus Energy Hubs
Daniel J. Olsen, Ning Zhang, Chongqing Kang +2
Multi-energy systems can provide a constant level of service to end-use energy demands, while deriving delivered energy from a variety of primary/secondary energy sources. This fue…
Resilience Control of DC Shipboard Power Systems
Jia Li, Feng Liu, Ying Chen +4
Direct current (DC) network has been recognized as a promising technique, especially for shipboard power systems (SPSs). Fast resilience control is required for an SPS to survive a…
Distributed Load-Side Control: Coping with Variation of Renewable Generations
Zhaojian Wang, Shengwei Mei, Feng Liu +2
This paper addresses the distributed frequency control problem in a multi-area power system taking into account of unknown time-varying power imbalance. Particularly, fast controll…
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…