Data mining cubes for buildings, a generic framework for multidimensional analytics of building performance data

• Main Authors: Leprince, Julien, Miller, Clayton, Zeiler, Wim
• 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; Data mining; Data cube; Generic method; Multidimensional analytics; Machine learning; Building data; MISSING VALUES; KNOWLEDGE DISCOVERY; FAULT-DETECTION; ENERGY DEMAND; DATA-DRIVEN; ELECTRICITY CONSUMPTION; OUTLIER DETECTION; IMPUTATION; CLASSIFICATION; DIAGNOSTICS
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/229342
• Institution: National University of Singapore

10.1016/j.enbuild.2021.111195