Luyang Hou
Research Associate Professor, Doctoral Advisor, Ph.D.
School of Computer Science (National Pilot Software Engineering School)
Beijing University of Posts and Telecommunications (BUPT), Beijing, China
Email: luyang.hou (at) bupt.edu.cn
About me
I am currently a Research Associate Professor at the School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications (BUPT). Before joining BUPT, I was a Visiting Researcher at the Institute of Semiconductors, Chinese Academy of Sciences (CAS), Beijing, China.
I was also a Postdoctoral Research Fellow at CIISE Concordia University from 2022.3 to 2022.9, and at the Energy Innovation Laboratory of MéridaLabs in the Faculty of Applied Science, The University of British Columbia (UBC) from 2021.1 to 2022.2. I collaborate with Prof. Walter Mérida.
l received the Ph.D. degree in the Information & Systems Engineering at Concordia Institute for Information Systems Engineering (CIISE), Concordia University, in 2020. My advisors are Dr. Chun Wang and Dr. Jun Yan.
Research Interests
My research interests include operational optimization, mechanism design, and machine learning with applications to Energy Internet and Intelligent Command & Scheduling. I am also interested in developing AI-economic paradigm and seeking opportunities in applying such paradigm to multi-energy systems, vehicle edge computing, electricity market design, packetized energy, and so on.
Specifically, I am actively conducting research on:
AI: optimization, reinforcement learning, mechanism design
Energy Internet: energy management, virtual power plant, demand response, packetized energy
Vehicle-Grid Interaction: charging scheduling, computation offloading, mobile charging
Intelligent Command & Scheduling: AI-based command decision-making, emergent microgrid
Power Simulation: HELICS co-simulation, energy prosumer, electricity market
More details about my research can be found here.
Smart Green Infrastructure Planning and Management
Mixed-integer linear program modelling
Optimization by CPLEX
Collection and management of real-world data
AnyLogic simulation for multiple EVs charging
Market-Based Mechanism Design
Iterative bidding
Incentive-compatible auction
Simultaneous multi-round auction
Dynamic auction design & scheduling algorithm
Machine Intelligence for Decision Making
Machina economicus paradigm
Dynamic pricing-driven demand response
Reinforcement mechanism design
Multi-agent reinforcement mechanism design
Selected Publications
[1] Luyang Hou*, et al. “A Simultaneous Multi-Round Auction Design for Scheduling Multiple Charges of Battery Electric Vehicles on Highways”, IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 7, pp. 8024 - 8036, 2021.5. DOI: 10.1109/TITS.2021.3075202. (Top, IF: 9.551)
[2] Luyang Hou*, et al. “Bidding for Preferred Timing: An Auction Design for Electric Vehicle Charging Station Scheduling”, IEEE Transactions on Intelligent Transportation Systems, vol. 21, no. 8, pp. 3332-3343, Aug. 2020. (Top, IF: 9.551)
[3] Luyang Hou*, et al. “Reinforcement Mechanism Design for Electric Vehicle Demand Response in Microgrid Charging Stations”, in 2020 International Joint Conference on Neural Networks (IJCNN’20), pp. 1-8. IEEE, 2020.3. (CCF-C)
[4] Luyang Hou, et al. “Two-Stage Energy Management for Hydrogen-Electric Microgrids with Vehicle-to-Grid and Power-to-Gas”, International Journal of Hydrogen Energy, 2022.9. (Top, IF: 7.139) Accepted.
[5] Luyang Hou*, et al. “Multi-Agent Reinforcement Mechanism Design for Dynamic Pricing-Based Demand Response in Charging Network”, International Journal of Electrical Power & Energy Systems, 2022.7 (IF: 5.659) Accepted.
[6] Luyang Hou*, et al. “An Incentive-Compatible Combinatorial Auction Design for Charging Network Scheduling of Battery Electric Vehicles”, Journal of Integrated Design & Process Science, vol. 24, no. 2, pp. 75-92, 2020. DOI: 10.3233/JID200007.
[7] Luyang Hou*, et al. “Electric Vehicle Charging Scheduling in Green Logistics: Challenges, Approaches and Opportunities”, in the Sustainable City Logistics Planning: Methods and Applications - vol.2, ed. Anjali Awasthi, Katarzyna Grzybowska, Nova Publisher. 2019.5. (Book chapter)
[8] Luyang Hou* and Chun Wang, “Market-Based Mechanisms for Smart Grid Management: Necessity, Applications and Opportunities”, in 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC’17), 2017, pp. 2613–2618. (CCF-C)
[9] Luyang Hou*, Leijiao Ge, Biao Wang, “Research on the integrated energy system and the electricity market towards new prosumers”, Integrated Intelligent Energy, 2022.6 (Accepted)
Full publications can be found here.
Recent News
2023
2023.2：Our paper: "Electrifying a Car Sharing Fleet Using Public Charging Infrastructure" has been accepted by Green Energy and Intelligent Transportation
2023.1：Our paper on packetized energy trading and management for virtual power plants has been accepted by the IEEE PES General Meeting in Orlando, FL, USA.
2022
2022.10: Our paper: "Energy Management for Solar-Hydrogen Microgrids with Vehicle-to-Grid and Power-to-Gas Transactions" has been accepted by International Journal of Hydrogen Energy.
2022.9: Our paper: "PEMT-CoSim: A Co-Simulation Platform for Packetized Energy Management and Trading in Distributed Energy Systems” has been accepted by IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (IEEE SmartGridComm’22). (Link)
2022.9: Dr. Hou starts a new position as a Research Associate at Beijing University of Posts and Telecommunications (BUPT).
2022.9: Our joint proposal on “Smart distribution network state perception and adaptive control considering the characteristics of multiple types of power users” was awarded by the National Natural Science Foundation of China, General form.
2022.8: Dr. Hou joined the program committee of International Conference on Computer Science and Application Engineering (website).
2022.8: Dr. Hou joined the program committee of International Conference on Mechanics, Electronics, Automation and Automatic Control (website).
2022.8: Our joint proposal on blockchain-integrated packetized energy was awarded by IEEE Blockchain-enabled Transactive Energy (BCTE)!
2022.7: Our paper "Optimal Power Management for The Integrated Multiple Energy Carrier System” has been accepted by 2022 Canadian Conference on Electrical and Computer Engineering (CCECE’22).
2022.7: Dr. Hou starts to visit Dr. Weijun Li's group as a Visiting Scholar at the Institute of Semiconductors, Chinese Academy of Sciences (CAS).
2022.6: Our paper "Research on the integrated energy system and the electricity market towards new prosumers" has been accepted by Integrated Intelligent Energy (综合智慧能源).
2022.5: Dr. Hou joined the program committee of 2022 International Conference on High Performance Big Data and Intelligent Systems (HDIS) (website).
2022.5: Our book chapter "Zero-Emission Delivery for Logistics and Transportation: Challenges, Research Issues, and Opportunities" has been accepted by The Palgrave Handbook of Global Sustainability: Chapter 110. Green Logistics and Transportation. (Link)
2022.3: Dr. Hou joined Dr. Jun Yan's group as a Research Associate at Concordia University.
2021
2021.12: Dr. Hou joined the program committee of Canadian AI 2022 (website).
2021.4: Our paper "A Simultaneous Multi-Round Auction Design for Scheduling Multiple Charges of Battery Electric Vehicles on Highways" has been accepted by the IEEE Transactions on Intelligent Transportation Systems.
2021.4: Dr. Hou joined the program committee of Canadian AI 2021 (website).
2021.1: The paper: "An Incentive-Compatible Combinatorial Auction Design for Charging Network Scheduling of Battery Electric Vehicles” has been accepted by Journal of Integrated Design & Process Science.
2021.1: Dr. Hou joined MéridaLabs as a postdoc fellow at The University of British Columbia.
2020
2020.11: I have successfully defended my PhD thesis: "Advanced Mechanism Design for Electric Vehicle Charging Scheduling in the Smart Infrastructure."
2020.5: I received the Concordia Accelerator Award by School of Graduate Studies, Concordia University.
2020.4: I have completed seminar presentation.
2020.4: Our paper "Reinforcement Mechanism Design for Electric Vehicle Demand Response in Microgrid Charging Stations" has been accepted by International Joint Conference on Neural Networks (IJCNN’20).
2016-2019
2019.12: I have passed proposal exam.
2019.6: Our book chapter "Electric Vehicle Charging Scheduling in Green Logistics: Challenges, Approaches and Opportunities" has been accepted by SCLP2019 (Sustainable City Logistics Planning : A multicriteria perspective).
2019.5: Our paper "Bidding for Preferred Timing: An Auction Design for Electric Vehicle Charging Station Scheduling" has been accepted by the IEEE Transactions on Intelligent Transportation Systems.
2021.4: I joined the program committee of CSCWD 2021 (website).
2019.2: Our paper "Accommodating More Users in Highway Electric Vehicle Charging through Coordinated Booking: A Market-Based Approach" has been accepted by the 2019 23rd IEEE International Conference on Computer Supported Cooperative Work in Design (IEEE CSCWD 2019).
2018.10: I joined Dr. Jun Yan's research group as a co-supervised PhD student working in mechanism design for EV charging scheduling.
2018.6: I received Doctoral In-course Awards at Concordia Institute for Information Systems Engineering, Concordia University.
2017.10: I have passed comprehensive exam.
2017.6: Two conference papers “Market-Based Mechanisms for Smart Grid Management: Necessity, Applications and Opportunities” and “A Cooperative Co-evolutionary Multi-Agent System for Multi-objective Layout Optimization of Satellite Module” have been accepted by the 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC'17).
2016.9: I joined Dr. Chun Wang 's research group in Concordia University as a PhD student and started my PhD career in Canada.
2016.6: I received my master degree and graduated from Dalian University of Technology in China.