Machine learning approach to predict building energy ratings of dwellings in Ireland
Authors
Laxminarayan Bhat, Rahul
Issue Date
2024-05
Degree
MSc in Data Analytics
Publisher
Dublin Business School
Rights holder
Rights
Abstract
The machine learning models have been employed for the BER prediction of a dwelling in Ireland. Various machine learning models have been run on the BER data by researchers. This research focuses on which machine learning model provides an optimal performance. The research also provides an answer to the framed research questions. The prediction of BER using machine learning models will reduce the time required to measure the significant features of the dwelling as the current system requires 211 features to be measured for each dwelling. After running the models, it was found that logic-based techniques perform better on the BER data. For regression analysis, 35 features are highly significant whereas for classification analysis, 42 features are highly significant.