Household Energy Consumption Segmentation Using Hourly Data

Journal Article · Wed Jan 01 00:00:00 EST 2014 · IEEE Transactions on Smart Grid

DOI:https://doi.org/10.1109/TSG.2013.2278477· OSTI ID:1211456

Kwac, J; Flora, J; Rajagopal, R

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.

• Sponsoring Organization: USDOE Advanced Research Projects Agency - Energy (ARPA-E)
• DOE Contract Number: DE-AR0000018
• OSTI ID: 1211456
• Journal Information: IEEE Transactions on Smart Grid, Vol. 5, Issue 1; ISSN 1949-3053
• Country of Publication: United States
• Language: English