BEEM: Data-driven building energy benchmarking for Singapore

• Main Authors: Arjunan, Pandarasamy, Poolla, Kameshwar, Miller, Clayton
• Other Authors: THE BUILT ENVIRONMENT
• Format: Article
• Language: English
• Published: ELSEVIER SCIENCE SA 2022
• Subjects: Science & Technology; Technology; Construction & Building Technology; Energy & Fuels; Engineering, Civil; Engineering; Building energy benchmarking; Building energy labeling; Regression analysis; Gradient boosting trees; Feature interaction; Interpretable machine learning; PERFORMANCE BENCHMARKING; OFFICE BUILDINGS; CONSUMPTION; CLASSIFICATION; METHODOLOGY; PREDICTION; EXAMPLE; MODEL
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/229409
• Institution: National University of Singapore

10.1016/j.enbuild.2022.111869