Xian Zhang
Orcid: 0000-0002-9586-2345Affiliations:
- Hong Kong Polytechnic University, Hong Kong
According to our database1,
Xian Zhang
authored at least 14 papers
between 2016 and 2024.
Collaborative distances:
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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
Low-Carbon Oriented Collaborative Planning of Electricity-Hydrogen-Gas-Transportation Integrated System Considering Hydrogen Vehicles.
IEEE Trans. Netw. Sci. Eng., 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
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