Abstract
In order to promote the national demand response program, the government tries to expand the distribution of AMI(Advanced Metering Infrastructure) in residential buildings. Analysis on the AMI data can contribute for better understanding on the electricity consumption characteristics. Since similar types of consumers have completely different electricity consumption patterns, it is necessary to analyze and understand the electricity consumption patterns and characteristics of household participating in the national demand response program using clustering algorithms and load profiling. As a result, the electricity consumption patterns were mainly clustered into 3 groups and each cluster’s electricity consumption characteristics showed different load profiles. Moreover, gradient analysis was used to analyze the load reduction patterns during 5 days of DR event. Result showed that there were load reduction occurred 3 days out of 5 days of DR event.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Journal of The Korean Society of Living Environmental System
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
