Mining electrical meter data to predict principal building use, performance class, and operations strategy for hundreds of non-residential buildings

Mining electrical meter data to predict principal building use, performance class, and operations strategy for hundreds of non-residential buildings

10.1016/j.enbuild.2017.09.056

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Bibliographic Details
Main Authors: Miller, Clayton, Meggers, Forrest
Other Authors: DEPT OF BUILDING
Format: Article
Language:English
Published: ELSEVIER SCIENCE SA 2021
Subjects:
Data mining
Building performance
Performance classification
Energy efficiency
Smart meters
Online Access:https://scholarbank.nus.edu.sg/handle/10635/189463
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Institution: National University of Singapore
Language: English

Internet

https://scholarbank.nus.edu.sg/handle/10635/189463

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