Dr Lei XU
Lei Xu is a Postdoctoral Researcher in the area of building energy prediction and optimal control. His major lies in the interdisciplinary sciences including machine learning, control and decision theory, building physics, and statistical and experimental methods. He holds a Bachelors degree in applied thermal engineering, a MSc degree in building technology, and a PhD in building energy and system automation.
His research combines building physics and machine learning techniques for energy projection and proactive policies for climate resilience. Lei believes a well-simulated built thermal environment and proactive policies can better prepare cities in terms of climate change.
Research interest
Zixiao's research interests include building energy prediction, machine learning, risk, and climate resilience.
Education
- PhD in Building Energy and Automation, The Hong Kong Polytechnic University, Hong Kong
Publications
- Lei Xu, Shengwei Wang*, Hong Tang. (2020). Adaptive Monthly Peak Building Demand Limiting Strategy Based on Exploration-Exploitation Trade-off. Automation in Construction, 119, 103349, Doi: external page https://doi.org/10.1016/j.autcon.2020.103349
- Lei Xu, Shengwei Wang*, Rui Tang. (2019). Probabilistic load forecasting for buildings considering weather forecasting uncertainty and uncertain peak load. Applied Energy, 237,180-195. Doi: external page https://doi.org/10.1016/j.apenergy.2019.01.022
- Lei Xu, Shengwei Wang*, Fu Xiao. (2019). An Adaptive Optimal Monthly Peak Building Demand Limiting Strategy Considering Load Uncertainty. Applied Energy, 253, 113582. Doi: external page https://doi.org/10.1016/j.apenergy.2019.113582
- Lei Xu, Shengwei Wang*, Fu Xiao. (2019). A Proactive-adaptive Monthly Peak Demand Limiting for Buildings with Small-scale Thermal Storages Considering Load Uncertainty. Science and Technology for the Built environment, 25 (10),1456-1466. Doi: external page https://doi.org/10.1080/23744731.2019.1634968
- Rui Tang, Shengwei Wang*, Lei Xu. (2019). An MPC-based optimal control strategy of active thermal storage in commercial buildings during fast demand response events in smart grids. Energy Procedia, 158, 2506-2511. Doi: external page https://doi.org/10.1016/j.egypro.2019.01.395