Xian Zhang

Orcid: 0000-0002-9586-2345

Affiliations:
  • Hong Kong Polytechnic University, Hong Kong


According to our database1, Xian Zhang authored at least 13 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
An Efficient Gated-Attention Spatiotemporal Convolutional Network for Economical Operation of Electric Vehicle Charging Stations.
IEEE Trans. Intell. Transp. Syst., November, 2024

2023
STPNet: Quantifying the Uncertainty of Electric Vehicle Charging Demand via Long-Term Spatiotemporal Traffic Flow Prediction Intervals.
IEEE Trans. Intell. Transp. Syst., December, 2023

Day-Ahead Distributionally Robust Optimization-Based Scheduling for Distribution Systems With Electric Vehicles.
IEEE Trans. Smart Grid, July, 2023

Low-Carbon Charging Facilities Planning for Electric Vehicles Based on a Novel Travel Route Choice Model.
IEEE Trans. Intell. Transp. Syst., June, 2023

2022
Quantifying the Uncertainty in Long-Term Traffic Prediction Based on PI-ConvLSTM Network.
IEEE Trans. Intell. Transp. Syst., 2022

A Human-Machine Reinforcement Learning Method for Cooperative Energy Management.
IEEE Trans. Ind. Informatics, 2022

Robust and Resilient Distributed Optimal Frequency Control for Microgrids Against Cyber Attacks.
IEEE Trans. Ind. Informatics, 2022

2021
Deep-Learning-Based Probabilistic Forecasting of Electric Vehicle Charging Load With a Novel Queuing Model.
IEEE Trans. Cybern., 2021

2020
DC Fault Detection in Meshed MTdc Systems Based on Transient Average Value of Current.
IEEE Trans. Ind. Electron., 2020

Dual Cost Function Model Predictive Direct Speed Control With Duty Ratio Optimization for PMSM Drives.
IEEE Access, 2020

2019
Multiobjective Reinforcement Learning-Based Intelligent Approach for Optimization of Activation Rules in Automatic Generation Control.
IEEE Access, 2019

2018
Robust Planning of Electric Vehicle Charging Facilities With an Advanced Evaluation Method.
IEEE Trans. Ind. Informatics, 2018

2016
A comparison study on electric vehicle growth forecasting based on grey system theory and NAR neural network.
Proceedings of the 2016 IEEE International Conference on Smart Grid Communications, 2016


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