Kun Liu

Affiliations:
  • Xi'an Jiaotong University, Moe Klinns Laboratory, Systems Engineering Institute, China


According to our database1, Kun Liu authored at least 19 papers between 2011 and 2024.

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

Timeline

2012
2014
2016
2018
2020
2022
2024
0
1
2
3
4
5
6
1
3
1
1
1
1
1
4
2
2
1
1

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

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

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

Cooperative modular reinforcement learning for large discrete action space problem.
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
Robust Energy Management for a Corporate Energy System With Shift-Working V2G.
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

Simulation-based Model Learning for Optimization of Building Energy Management.
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

Coordinated Optimization of EVs and Multiple Buildings with Renewable Energy.
Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020

2019
Optimal Coordination of EVs and HVAC Systems with Uncertain Renewable Supply.
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
Cyber-physical model for efficient and secured operation of CPES or energy Internet.
Sci. China Inf. Sci., 2018

2016
Vision-based vehicle detecting and counting for traffic flow analysis.
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
A stochastic Cournot bidding model for wind power producers.
Proceedings of the IEEE International Conference on Automation and Logistics, 2011


  Loading...