Apples or oranges? Identification of fundamental load shape profiles for benchmarking buildings using a large and diverse dataset
10.1016/j.apenergy.2018.12.025
Saved in:
Main Authors: | Park, June Young, Yang, Xiya, Miller, Clayton, Arjunan, Pandarasamy, Nagy, Zoltan |
---|---|
Other Authors: | THE BUILT ENVIRONMENT |
Format: | Article |
Language: | English |
Published: |
ELSEVIER SCI LTD
2022
|
Subjects: | |
Online Access: | https://scholarbank.nus.edu.sg/handle/10635/229435 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Language: | English |
Similar Items
-
BEEM: Data-driven building energy benchmarking for Singapore
by: Arjunan, Pandarasamy, et al.
Published: (2022) -
Islands of misfit buildings: Detecting uncharacteristic electricity use behavior using load shape clustering
by: Quintana, Matias, et al.
Published: (2021) -
EnergyStar plus plus : Towards more accurate and explanatory building energy benchmarking
by: Arjunan, Pandarasamy, et al.
Published: (2021) -
Energy performance of industrial buildings in Singapore
by: CHIA YEN LING
Published: (2011) -
A review of unsupervised statistical learning and visual analytics techniques applied to performance analysis of non-residential buildings
by: Miller, Clayton, et al.
Published: (2021)