A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
BEEM: Data-driven building energy benchmarking for Singapore
Abstract Building energy use benchmarking is the process of measuring the energy performance of buildings relative to their peer group for creating awareness and identifying energy-saving opportunities. In this paper, we present the design and implementation of BEEM, a data-driven energy use benchmarking system for buildings in Singapore. The peer groups for comparison are established using a public energy disclosure data set. We use an ensemble tree algorithm for accurately modeling building energy use and for identifying the most influential factors. Our models reduce the prediction error from 24.39% to 6.04%, on average, when compared to the baseline linear regression models, which were used in the previous energy efficiency labeling program in Singapore, and outperforms ten other recent models. Using the prototype implementation of BEEM, we benchmarked three building types, office (290), hotel (203), and retail (125), and compared their rating. The code repository and the accompanying data set are released as an open-source project for community use.
BEEM: Data-driven building energy benchmarking for Singapore
Abstract Building energy use benchmarking is the process of measuring the energy performance of buildings relative to their peer group for creating awareness and identifying energy-saving opportunities. In this paper, we present the design and implementation of BEEM, a data-driven energy use benchmarking system for buildings in Singapore. The peer groups for comparison are established using a public energy disclosure data set. We use an ensemble tree algorithm for accurately modeling building energy use and for identifying the most influential factors. Our models reduce the prediction error from 24.39% to 6.04%, on average, when compared to the baseline linear regression models, which were used in the previous energy efficiency labeling program in Singapore, and outperforms ten other recent models. Using the prototype implementation of BEEM, we benchmarked three building types, office (290), hotel (203), and retail (125), and compared their rating. The code repository and the accompanying data set are released as an open-source project for community use.
BEEM: Data-driven building energy benchmarking for Singapore
Arjunan, Pandarasamy (author) / Poolla, Kameshwar (author) / Miller, Clayton (author)
Energy and Buildings ; 260
2022-01-17
Article (Journal)
Electronic Resource
English
Spectroscopy and imaging of metal-organic interfaces using BEEM
| British Library Online Contents | 2006
BEEM study of electron tunnelling across single AlAs barriers
| British Library Online Contents | 1998
Diffusion of interfacial point defects studied by BEEM
| British Library Online Contents | 1998
Data-Driven Benchmarking of Building Energy Efficiency Utilizing Statistical Frontier Models
| British Library Online Contents | 2014