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Personal profile
Academic background
Haoyang Zhang is a Ph.D. student with the research group Electrical Energy Systems at the TU/e, focusing on market power simulation in the local energy markets with multi-agent reinforcement learning as part of the MEGAMIND project. Prior to the Ph.D. study, he was an associate researcher at China Southern Power Grid, Guangzhou, China from 2019 to 2021. He obtained his bachelor's degree from South China University of Technology, Guangzhou, China in 2016 and his master's degree from Royal Institute of Technology (KTH), Stockholm, Sweden in 2019. During the M.S. study, Haoyang was a Visiting Researcher with the PSL Lab, Swiss Federal Institute of Technology in Zürich (ETH Zürich), Zürich, Switzerland, in 2018.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
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Model-free Approaches for Real-time Distribution System Operation: A Comparison of Feedback Optimization and Reinforcement Learning
Zhan, S., Zhang, H., Kok, J. K. & Paterakis, N. G., 2025, (Accepted/In press) IEEE PowerTech 2025. Institute of Electrical and Electronics Engineers, 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile42 Downloads (Pure) -
Reliability assessment of multi-agent reinforcement learning algorithms for hybrid local electricity market simulation
Zhang, H. (Corresponding author), Qiu, D., Kok, K. & Paterakis, N. G., 1 Jul 2025, In: Applied Energy. 389, 15 p., 125789.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile9 Downloads (Pure) -
Review of Market Power Detection in Distribution Networks: Case Study on Local Flexibility Markets
Zhang, H., Zhan, S., Kok, J. K. & Paterakis, N. G., 2025, (Accepted/In press) 21st International Conference on European Energy Market: EEM25 Conference. Institute of Electrical and Electronics EngineersResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
File21 Downloads (Pure) -
Deep reinforcement learning-based prosumer aggregation bidding strategy in a hierarchical local electricity market
Zhang, H., Kok, J. K. & Paterakis, N. G., 25 Jan 2024, 2023 Asia Meeting on Environment and Electrical Engineering, EEE-AM 2023. Leonowicz, Z. & Stracqualursi, E. (eds.). Institute of Electrical and Electronics Engineers, 6 p. 10395533Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile1 Citation (Scopus)63 Downloads (Pure) -
Designing Efficient Local Flexibility Markets in the Presence of Reinforcement-Learning Agents
Zhang, H., Tsaousoglou, G., Zhan, S., Kok, J. K. & Paterakis, N. G., 12 Feb 2024, In: TechRxiv. 2024, 10 p.Research output: Contribution to journal › Article › Academic
Open AccessFile210 Downloads (Pure)