Kun Liu
Affiliations:- Xi'an Jiaotong University, Moe Klinns Laboratory, Systems Engineering Institute, China
According to our database1,
Kun Liu
authored at least 21 papers
between 2011 and 2025.
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Bibliography
2025
Decentralized Coordination of Multiple Buildings With Renewable Energy Resource and Electric Vehicles.
IEEE Trans Autom. Sci. Eng., 2025
2024
Cross-Domain Transfer Learning Method for Thermal Adaptive Behavior Recognition with WiFi.
CoRR, 2024
Optimal Coordination of Photovoltaic/Thermal Collectors and Ground-source Heat Pumps in Integrated Energy Systems.
Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024
A Multi-Stage Stochastic Scheduling Method for Microgrid with Multiple Types of Energy Storage.
Proceedings of the 14th Asian Control Conference, 2024
2023
Robust Constraints-Based Supply-Demand Coordination With Storage Systems of Enterprise Microgrid.
IEEE Trans Autom. Sci. Eng., October, 2023
Optimal Planning of Internet Data Centers Decarbonized by Hydrogen-Water-Based Energy Systems.
IEEE Trans Autom. Sci. Eng., July, 2023
Neural Networks, April, 2023
Performance Analysis of Mutiple Energy Storage Units in Hydrogen-Enabled Integrated Energy Systems.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023
2021
IEEE Trans Autom. Sci. Eng., 2021
Multi-zone indoor temperature prediction based on Graph Attention Network and Gated Recurrent Unit.
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021
Optimal Coordination of Human Resources and Tasks in Substation Operation and Maintenance.
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021
Uncertainty Set Prediction of Aggregated Wind Power Generation based on Bayesian LSTM and Spatio- Temporal Analysis.
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021
2020
Constrained Double Deep Q-learning Network for EVs Charging Scheduling with Renewable Energy.
Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020
Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020
2019
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019
A Time-domain Decoupling Policy for Multi-stage Robust Scheduling in a Corporate Energy System with V2G<sup>*</sup>.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019
2018
Sci. China Inf. Sci., 2018
2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
2013
Electrical Load Tracking Analysis for Demand Response in Energy Intensive Enterprise.
IEEE Trans. Smart Grid, 2013
2011
Proceedings of the IEEE International Conference on Automation and Logistics, 2011