This project aims to compare different machine-learning/deep-learning methods to evaluate building energy efficiency assessment in support of sustainable energy use management. The comparison of various data-driven methods will validate the consistency of assessment criteria learnt from these methods to determine building energy efficiency. This project is a continuous research task based on our past exploration of data-driven studies on energy efficiency assessment.
The applicants will help multi-source data cleaning and algorithm development to answer the proposed project question. Some experience in programing is preferred.
To improve the understanding of scientific research methods
To improve the capability of using data science to solve sustainability challenges
To enhance transdisciplinary research at the interface of sustainability and data science