TY - GEN
T1 - Application of intelligent algorithms for residential building energy performance rating prediction
AU - Ali, Usman
AU - Shamsi, Mohammad Haris
AU - Alshehri, Fawaz
AU - Mangina, Eleni
AU - O'Donnell, James
N1 - Publisher Copyright:
© 2019 Building Simulation Conference Proceedings. All rights reserved.
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85107343641
M3 - Conference contribution
AN - SCOPUS:85107343641
T3 - Building Simulation Conference Proceedings
SP - 3177
EP - 3184
BT - 16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019
A2 - Corrado, Vincenzo
A2 - Fabrizio, Enrico
A2 - Gasparella, Andrea
A2 - Patuzzi, Francesco
PB - International Building Performance Simulation Association
T2 - 16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019
Y2 - 2 September 2019 through 4 September 2019
ER -
