Aaron Zeng
- Predicting long-term monthly electricity demand under future climatic and socioeconomic changes using data-driven methods: A case study of Hong Kong. Dans: Sustainable Cities and Society, v. 70 (juillet 2021). (2021):
- Comparative study of data driven methods in building electricity use prediction. Dans: Energy and Buildings, v. 194 (juillet 2019). (2019):
- Prediction of building electricity usage using Gaussian Process Regression. Dans: Journal of Building Engineering, v. 28 (mars 2020). (2020):