Understanding Building Energy Efficiency with Administrative and Emerging Urban Big Data by Deep Learning in Glasgow

Authors: Maoran Sun, Changyu Han, Quan Nie, Jingying Xu, Fan Zhang, Qunshan Zhao

Introduction

This github repo deposits the data statement and code we used for our research paper Understanding Building Energy Efficiency with Administrative and Emerging Urban Big Data by Deep Learning in Glasgow.

Paper citation

Sun, M., Han, C., Nie, Q., Xu, J., Zhang, F., & Zhao, Q. (2022). Understanding building energy efficiency with administrative and emerging urban big data by deep learning in Glasgow. Energy and Buildings, 273, 112331. https://doi.org/10.1016/j.enbuild.2022.112331

Acknowledgement

This work was made possible by the ESRC’s on-going support for the Urban Big Data Centre (UBDC) [ES/L011921/1 and ES/S007105/1] and the Urban Studies Research Incentivization Funding from the University of Glasgow. This work was also supported by the National Natural Science Foundation of China under Grant 41901321. The authors want to thank the anonymous reviewers for their insightful comments and suggestions on an earlier version of this manuscript.