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Pei Zhang

Ningbo University · CN
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Area of research
Electrical and Electronic Engineering · Safety, Risk, Reliability and Quality
Research interest
Research focused on Electric power system and Stability (learning theory), with related work in Probabilistic logic, Decision tree, Photovoltaic system. Notable publications include 'Construction of decision tree based on C4.5 algorithm for online voltage stability assessment', 'A photovoltaic power output dataset: Multi-source photovoltaic power output dataset with Python toolkit', and 'Performance evaluation of an alkaline fuel cell/thermoelectric generator hybrid system'.
h-index
citations
570
works
16
NIH funding
primary concept
email

Recent publications

Graph Attention Network Based Deep Reinforcement Learning for Voltage/var Control of Topologically Variable Power System
Journal of Modern Power Systems and Clean Energy 2024cited by 9position: middledoi
An online power system transient stability assessment method based on graph neural network and central moment discrepancy
Frontiers in Energy Research 2023cited by 10position: lastdoi
Two-Stage Optimization Scheduling of Virtual Power Plants Considering a User-Virtual Power Plant-Equipment Alliance Game
Sustainability 2023cited by 10position: middledoi
A Novel Source-Grid-Load-Storage Integrated Cooperative System
2023cited by 3position: lastdoi
An AGC Dynamic Optimization Method Based on Proximal Policy Optimization
Frontiers in Energy Research 2022cited by 12position: middledoi
A photovoltaic power output dataset: Multi-source photovoltaic power output dataset with Python toolkit
Solar Energy 2021cited by 84position: middledoi
Multi-Objective Reactive Power Optimization Based on Improved Particle Swarm Optimization With ε-<i>Greedy</i> Strategy and Pareto Archive Algorithm
IEEE Access 2021cited by 44position: middledoi
Construction of decision tree based on C4.5 algorithm for online voltage stability assessment
International Journal of Electrical Power & Energy Systems 2019cited by 94position: middledoi
Probabilistic load flow method considering large-scale wind power integration
Journal of Modern Power Systems and Clean Energy 2019cited by 38position: middledoi
Ultra-Short Term Wind Power Forecasting Based on LSTM Neural Network
2019 IEEE 3rd International Electrical and Energy Conference (CIEEC) 2019cited by 28position: middledoi
Parallel Restoration Method for AC-DC Hybrid Power Systems Based on Graph Theory
IEEE Access 2019cited by 19position: middledoi
Real-Time Assessment of Fault-Induced Delayed Voltage Recovery: A Probabilistic Self-Adaptive Data-Driven Method
IEEE Transactions on Smart Grid 2018cited by 57position: lastdoi
A Novel Sectionalizing Method for Power System Parallel Restoration Based on Minimum Spanning Tree
Energies 2017cited by 21position: middledoi
A Novel Probabilistic Optimal Power Flow Method to Handle Large Fluctuations of Stochastic Variables
Energies 2017cited by 19position: lastdoi
Performance evaluation of an alkaline fuel cell/thermoelectric generator hybrid system
International Journal of Hydrogen Energy 2014cited by 69position: middledoi
Using IS to Assess an Electric Power System's Real-Time Stability
IEEE Intelligent Systems 2013cited by 53position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

· 4 papers (2017–2019)Yan Xu · Tianjin University3 papers (2013–2019) · 3 papers (2019–2024)Xiangfei Meng · Beijing Institute of Technology2 papers (2019–2019)Changcheng Li · Guangxi University2 papers (2017–2019) · 2 papers (2017–2019) · 2 papers (2019–2022)Zhenhuan Ding · Anhui University2 papers (2022–2023)Yin Xu · Pacific Northwest National Laboratory2 papers (2017–2019)Zhao Yang Dong · City University of Hong Kong2 papers (2013–2018)Yuchen Zhang · Harbin University of Science and Technology1 papers (2018–2018)Jue Wang · Jiangsu University1 papers (2021–2021) · 1 papers (2024–2024)Yangang Wang · Ministry of Education of the People's Republic of China1 papers (2021–2021)Long Gao · Kunming University of Science and Technology1 papers (2023–2023)Gaofeng Fan · North China Electric Power University1 papers (2019–2019)Wenyun Li · North China Electric Power University1 papers (2023–2023)Ziyang Hu · Ningbo University1 papers (2014–2014) · 1 papers (2021–2021)Jinjie Zhang · Ningbo University1 papers (2014–2014)
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