Journal
IEEE TRANSACTIONS ON SMART GRID
Volume 5, Issue 1, Pages 420-430Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSG.2013.2278477
Keywords
Clustering; demand response; segmentation; smart meter data; variability
Categories
Funding
- Department of Energy ARPA-E [DE-AR0000018]
- California Energy Commission [PIR-10-054]
- Precourt Energy Efficiency Center
- TomKat center [1149360-1-WPTAI]
- Powell Foundation
Ask authors/readers for more resources
The increasing US deployment of residential advanced metering infrastructure (AMI) has made hourly energy consumption data widely available. Using CA smart meter data, we investigate a household electricity segmentation methodology that uses an encoding system with a pre-processed load shape dictionary. Structured approaches using features derived from the encoded data drive five sample program and policy relevant energy lifestyle segmentation strategies. We also ensure that the methodologies developed scale to large data sets.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available