Wenhao Zhang 张文浩

Wenhao Zhang 张文浩

PhD Student at BUDS_Lab@NUS

Publications

You can also find my articles on my Google Scholar profile.

Recommender systems and reinforcement learning for human-building interaction and context aware support: A text mining-driven review of scientific literature

Published in Energy and Buildings, 2024

Employ text mining and Natural Language Processing (NLP) techniques to thoroughly examine the connections among these approaches in the context of human-building interaction and occupant context-aware support.

Recommended citation: Zhang, W., Quintana, M., & Miller, C. (2025). Recommender systems and reinforcement learning for human-building interaction and context aware support: A text mining-driven review of scientific literature. Energy and Buildings, 329, 115247. doi:10.1016/j.enbuild.2024.115247 https://www.sciencedirect.com/science/article/pii/S037877882401363X

Reinforcement Learning in Building Controls: a Comparative Study of Algorithms considering Model Availability and Policy Representation

Published in Journal of Building Engineering, 2024

Model-free and model-based reinforcement learning algorithms were implemented; Reinforcement learning of value-based, policy gradient and actor-critic are discussed.

Recommended citation: Wu, Z., Zhang, W., Tang, R., Wang, H., & Korolija, I. (2024). Reinforcement learning in building controls: A comparative study of algorithms considering model availability and policy representation. Journal of Building Engineering, 90, 109497. doi:10.1016/j.jobe.2024.109497 https://www.sciencedirect.com/science/article/pii/S2352710224010659?via%3Dihub

Energy Efficient Operation Optimization of Building Air-conditioners via Simulator-assisted Asynchronous Reinforcement Learning

Published in IOP Conference Series Earth and Environmental Science, 2022

Developed an energy efficient operation strategy for VRF system during the cooling season for a case office and achieved energy savings of up to 16.1% as well as improved thermal comfort compared to a rule-based control strategy.

Recommended citation: Zhang, W., & Zhang, Z. (2022). Energy Efficient Operation Optimization of Building Air-conditioners via Simulator-assisted Asynchronous Reinforcement Learning. IOP Conference Series: Earth and Environmental Science, 1048(1), 012006. doi:10.1088/1755-1315/1048/1/012006 https://iopscience.iop.org/article/10.1088/1755-1315/1048/1/012006