Non-Intrusive Load Identification by Fuzzy Cluster Analysis Based on Active Power

The objective of load identification is to manage power consumption by the determination of the operation schedule of individual appliances. We applied fuzzy clustering analysis and fuzzy pattern recognition algorithm to load identification in this paper. In the method, the most ideal state is to tr...

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Bibliographic Details
Published in:2012 Asia-Pacific Power and Energy Engineering Conference pp. 1 - 4
Main Authors: Gao Yun, Yang Honggeng
Format: Conference Proceeding
Language:English
Published: IEEE 01.03.2012
Subjects:
Home appliances
Libraries
Mathematical model
Monitoring
Pattern recognition
Transient analysis
ISBN:9781457705458, 1457705451
ISSN:2157-4839
Online Access:Get full text
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Summary:The objective of load identification is to manage power consumption by the determination of the operation schedule of individual appliances. We applied fuzzy clustering analysis and fuzzy pattern recognition algorithm to load identification in this paper. In the method, the most ideal state is to treat each household appliance as a classification, then cluster them, and get a clustering result about home appliances. One of the critical advantages of fuzzy clustering analysis algorithm is its capacity to identify the main loads accurately.
ISBN:9781457705458
1457705451
ISSN:2157-4839
DOI:10.1109/APPEEC.2012.6307566