EnergyStar plus plus : Towards more accurate and explanatory building energy benchmarking

10.1016/j.apenergy.2020.115413

Saved in:

Bibliographic Details
Main Authors:	Arjunan, Pandarasamy, Poolla, Kameshwar, Miller, Clayton
Other Authors:	DEPT OF BUILDING
Format:	Article
Language:	English
Published:	ELSEVIER SCI LTD 2021
Subjects:	Building energy benchmarking Building performance rating Multiple linear regression Gradient boosting trees Feature interaction Interpretable machine learning
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/189365
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	National University of Singapore
Language:	English

Description
Summary:	10.1016/j.apenergy.2020.115413

Similar Items