Apples or oranges? Identification of fundamental load shape profiles for benchmarking buildings using a large and diverse dataset

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:
Bibliographic Details
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:
Science & Technology
Technology
Energy & Fuels
Engineering, Chemical
Engineering
Building energy
Load profile
Energy benchmarking
Unsupervised learning
Data analytic
Visual analytic
ENERGY BENCHMARKING
CLASSIFICATION
CONSUMPTION
EFFICIENCY
MODEL
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

Internet

https://scholarbank.nus.edu.sg/handle/10635/229435

Similar Items