Zhecheng Wang

Ph.D. Student in Civil and Environmental Engineering, admitted Autumn 2017
Ph.D. Minor, Computer Science

Bio

Zhecheng Wang received his Bachelor's degree in Energy and Power Engineering from Tsinghua University in 2016, and Master of Science degree in Mechanical Engineering from Stanford University in 2018, and is now pursuing his PhD in Civil and Environmental Engineering at Stanford University. His primary research interest is developing machine-learning-based methods for power system modeling, control, and management. He is a recipient of 2018 Stanford Interdisciplinary Graduate Fellowship (SIGF).

Honors & Awards

Stanford Interdisciplinary Graduate Fellowship, Stanford University (2018)

Contact

Academic
zhecheng@stanford.edu
University - Student Department: Civil and Environmental Engineering Position: Graduate
- (650) 723-1831 (office)
University - Student Department: Computer Science Position: Graduate
- (650) 723-1831 (office)

Additional Info

Mail Code: 3030

All Publications

DeepSolar: A Machine Learning Framework to Efficiently Construct a Solar Deployment Database in the United States JOULE Yu, J., Wang, Z., Majumdar, A., Rajagopal, R. 2018; 2 (12): 2605–17

View details for DOI 10.1016/j.joule.2018.11.021

View details for Web of Science ID 000453896100014