Scheduled System Maintenance:
On Monday, April 27th, IEEE Xplore will undergo scheduled maintenance from 1:00 PM - 3:00 PM ET (17:00 - 19:00 UTC). No interruption in service is anticipated.
By Topic

A study for clustering method to generate Typical Load Profiles for Smart Grid

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Young-Il Kim ; S/W Center, KEPCO Res. Inst., Daejeon, South Korea ; Shin-Jae Kang ; Jong-Min Ko ; Seung-Hwan Choi

Interests in green growth for environmental protection are recently increased and encourage research on Smart Grid to use power efficiently. Among interesting issues in this research, the methodology of data mining is an emerging issue which stands for utilizing power usage data collected every 15 minutes from customers for the computation of electricity rates. Load analysis method based on VLP (Virtual Load Profile) is used to create virtual 15 minutes power usage data for non-AMR (Automatic Meter Reading) customers with 15 minutes power usage data from AMR customers. In this paper, TLP (Typical Load Profile) generation method, hierarchical clustering, k-means clustering, fuzzy c-means clustering, and two-stage fuzzy clustering are investigated and their performance are also analyzed.

Published in:

Power Electronics and ECCE Asia (ICPE & ECCE), 2011 IEEE 8th International Conference on

Date of Conference:

May 30 2011-June 3 2011