Conference Paper

Proceedings of Building Simulation 2019: 16th Conference of IBPSA

     

Application Of Intelligent Algorithms For Residential Building Energy Performance Rating Prediction

Usman Ali 1, Mohammad Haris Shamsi 1, Cathal Hoare 1, Fawaz Alshehri 1, Eleni Mangina 2, James O'Donnell 1
1 School of Mechanical & Materials Engineering, Energy Institute University College Dublin (UCD), Ireland
2 School of Computer Science and Informatics, University College Dublin (UCD), Ireland

DOI: https://doi.org/10.26868/25222708.2019.210232
Abstract: Energy Performance Certificates (EPC) provide an indication of buildings’ energy use. The creation of an EPC for individual building requires information surveys. Hence, these ratings are typically non-existent for entire building stock. This paper addresses these information gaps using machine-learning models. Developed models were evaluated with Irish EPC data that included approximately 650,000 residential buildings with 199 inputs variables. Results indicate that the deep learning algorithm produces results with highest accuracy level of 88% when only 82 input variables are available. This identified approach will allow stakeholders such as authorities, policymakers and urban-planners to determine the EPC rating for rest of the building stock using limited data.
Keywords: Building Energy Performance, Urban Scale, Building Energy Rating, Machine learning
Pages: 3177 - 3184
Paper:

BS2019_210232