Yi ZHANG

Oct. 2011- Apr. 2016, Ph.D. in Engineering, University of Cambridge, UK

Oct. 2009 – Oct. 2010, Master's degree in Civil Engineering and Business Management, Imperial College , UK

Aug. 2005 – Jul. 2009, Bachelor's degree in Energy Power Systems and Automation, Tsinghua University, China

Jun. 2023 - present, Associate Professor, Tsinghua Shenzhen International Graduate School, Tsinghua University, China

Oct. 2020 – Jun. 2023, Assistant Professor, Tsinghua Shenzhen International Graduate School, Tsinghua University, China

Mar. 2017 - Sept. 2020, Postdoctoral/Research Scientist, Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, China.

•  Green Building and Urban Ecology, SIGS

•  Machine Learning and Its Application in Urban Big Data Analysis, SIGS

•  Introduction to Flexible Energy Utilization Technology in Buildings, SIGS

Welcome the applications of Master and PhD candidates

Flexible building energy system, Big data analysis and Energy use behavior prediction, Low carbon and smart city operation management, Indoor comfort monitoring robot, and Virtual interactive system, etc.

•  Shenzhen Natural Science Foundation General Project

•  Shenzhen Basic Research Project

•  Guangdong International Science and Technology Cooperation Project

•  National Natural Science Foundation Key Project

•  Ministry of Housing and Urban Rural Development Science and Technology Project

•  Shenzhen Overseas High Level Talent Team Project

[1] Yuhang Zhang, Xu Han, Tianxi Wei, Xiaoyong Zhao, Yi Zhang*. (2023) Techno-environmental-economical performance of allocating multiple energy storage resources for multi-scale and multi-type urban forms towards low carbon district. Sustainable Cities and Society, 2023, 104974. JCR:Q1/IF:11.7.

[2] Chenxi Cheng, Xiangtian Deng, Xiaoyong Zhao, Yuhan Xiong, Yi Zhang*. (2023) Multi-occupant dynamic thermal comfort monitoring robot system. Building and Environment, 2023, 110341. JCR:Q1/IF:6.456.

[3]  Pengshun Li, Mengyan Jiang, Yi Zhang, Yi Zhang*. (2023) Cooperative Optimization of Bus Service and Charging Schedules for a Fast-charging Battery Electric Bus Network. IEEE Transactions on Intelligent Transportation Systems, Early Access. JCR:Q1/IF: 9.551.

[4] Xiangtian Deng, Yi Zhang, Yi Zhang*, He Qi. (2022) Toward Smart Multizone HVAC Control by Combining Context-Aware System and Deep Reinforcement Learning. IEEE Internet of Things Journal, vol. 9, no. 21, pp. 21010-21024, 1 Nov.1, 2022, doi: 10.1109/JIOT.2022.3175728. JCR:Q1/IF: 10.238.

[5] Mengyan Jiang, Yi Zhang, Yi Zhang* (2022) A Branch-and-Price Algorithm for Large-Scale Multidepot Electric Bus Scheduling. IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2022.3165876. JCR:Q1/IF: 9.551.

[6] Yuhang Zhang, Yi Zhang*, Yi Zhang, Chengxu Zhang. (2022) Effect of physical, environmental, and social factors on prediction of building energy consumption for public buildings based on real-world big data. Energy. 2022, 261(2022)125286. JCR:Q1/IF: 8.857.

[7] Xiangtian Deng, Yi Zhang, Yi Zhang*, He Qi. (2022) Towards optimal HVAC control in non-stationary building environments combining active change detection and deep reinforcement learning. Building and Environment, 2022, 211 (2022) 108680. JCR:Q1/IF:6.456.

[8] Yuhang Zhang, Xiangtian Deng, Yi Zhang, Yi Zhang*. (2022) Generation of Sub-item Load Profiles for Public Buildings Based on the Conditional Generative Adversarial Network and Moving Average Method. Energy and Buildings, 2022, 268(2022)112185. JCR:Q1/IF:7.201.

[9]  Pengshun Li, Yuhang Zhang, Yi Zhang, Yi Zhang*, Kai Zhang. Prediction of electric bus energy consumption with stochastic speed profile generation modelling and data driven method based on real-world big data. Applied Energy,2021, 298 (2021) 117204. JCR: Q1/IF:11.446.

[10] Rui Shang,Yi Zhang, Max Shen, Yi Zhang*. Analyzing the Effects of Road Type and Rainy Weather on Fuel Consumption and Emissions: A Mesoscopic Model Based on Big Traffic Data. IEEE Access, 2021, 3074303. JCR: Q1/IF:3.745.

[11] Pengshun Li, Yi Zhang, Yi Zhang*, Kai Zhang, Mengyan Jiang. The effects of dynamic traffic conditions, route characteristics and environmental conditions on trip-based electricity consumption prediction of electric bus. Energy, 2021,119437. JCR: Q1/IF:7.147.

[12] Yi Zhang, Ruchi Choudhary*, Kenichi Soga. Influence of GSHP System Design Parameters on the Geothermal Application and Electricity Consumption at City-Scale for Westminster, London. Energy and Buildings, 2015, 106:3-12.

[13] Yi Zhang, Kenichi Soga*, Ruchi Choudhary. Shallow Geothermal Energy Application with GSHPs at City Scale: Study on the City of Westminster. Geotechnical Letters (ICE), 2014, 4:125-131.

The Pearl River Talents Post-doc Programme in Guangdong Province

The Overseas High-level Talent Programme in Shenzhen

Member of the Shenzhen Overseas High level Talents Innovation and Entrepreneurship Special Fund Team (Peacock Team)

The first prize of the 2020 Engineering Construction Science and Technology Progress Award

The third prize of the 2018 Huaxia Construction Science and Technology Award from the Ministry of Housing and Urban Rural Development