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