| A review of reinforcement learning methodologies for controlling occupant comfort in buildings M Han, R May, X Zhang, X Wang, S Pan, D Yan, Y Jin, L Xu Sustainable cities and society 51, 101748, 2019 | 144 | 2019 |
| A novel reinforcement learning method for improving occupant comfort via window opening and closing M Han, R May, X Zhang, X Wang, S Pan, Y Da, Y Jin Sustainable Cities and Society 61, 102247, 2020 | 62 | 2020 |
| A review of reinforcement learning methodologies on control systems for building energy M Han, X Zhang, L Xu, R May, S Pan, J Wu Högskolan Dalarna, 2018 | 20 | 2018 |
| A multi-agent reinforcement learning approach for investigating and optimising peer-to-peer prosumer energy markets R May, P Huang Applied Energy 334, 120705, 2023 | 13 | 2023 |
| The reinforcement learning method: A feasible and sustainable control strategy for efficient occupant-centred building operation in smart cities R May Dalarna University, 2019 | 9 | 2019 |
| Reinforcement learning control for indoor comfort: a survey R May, X Zhang, J Wu, M Han IOP Conference Series: Materials Science and Engineering 609 (6), 062011, 2019 | 2 | 2019 |
| On the Feasibility of Reinforcement Learning in Single-and Multi-Agent Systems: The Cases of Indoor Climate and Prosumer Electricity Trading Communities R May Dalarna University, 2023 | 1 | 2023 |
| Does a smart agent overcome the tragedy of the commons in residential prosumer communities? R May, K Carling, P Huang Preprint submitted to Elsevier, 2023 | 1 | 2023 |
| Reinforcement Learning Methodologies for Controlling Occupant Comfort in Buildings M Han, R May, X Zhang Data-driven Analytics for Sustainable Buildings and Cities: From Theory to …, 2021 | 1 | 2021 |
| A Novel Reinforcement Learning Method for Improving Occupant Comfort via Window Opening and Closing R May, M Han, X Zhang Data-driven Analytics for Sustainable Buildings and Cities, 207–226, 2021 | | 2021 |
| An Empirical Investigation of the Merits of a Class of Analytically Tractable Matern Covariance Structures in Spatial Data Analysis R May | | 2017 |
Xingxing ZHANGProfessor in Energy Technology, Dalarna University, SwedenVerified email at du.se
