DocumentCode :
1335702
Title :
Load Signature Study—Part I: Basic Concept, Structure, and Methodology
Author :
Liang, Jian ; Ng, Simon K.K. ; Kendall, Gail ; Cheng, John W.M.
Author_Institution :
CLP Res. Inst. Ltd., Hong Kong, China
Volume :
25
Issue :
2
fYear :
2010
fDate :
4/1/2010 12:00:00 AM
Firstpage :
551
Lastpage :
560
Abstract :
Load signature is the unique consumption pattern intrinsic to each individual electrical appliance/piece of equipment. This paper focus on building a universal platform to better understand and explore the nature of electricity consumption patterns using load signatures and advanced technology, such as feature extraction and intelligent computing. Through this knowledge, we can explore and develop innovative applications to achieve better utilization of resources and develop more intelligent ways of operation. This paper depicts the basic concept, features of load signatures, structure and methodology of applying mathematical programming techniques, pattern recognition tools, and committee decision mechanism to perform load disaggregation. New indices are also introduced to aid our understanding of the nature of load signatures and different disaggregation algorithms.
Keywords :
load (electric); mathematical programming; neural nets; power consumption; power engineering computing; artificial neural network; committee decision mechanism; electricity consumption patterns; feature extraction; intelligent computing; load disaggregation; load signature; mathematical programming techniques; pattern recognition tools; smart metering; Artificial neural network; committee decision mechanism; electric-load intelligence; load disaggregation; load signature; smart metering;
fLanguage :
English
Journal_Title :
Power Delivery, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8977
Type :
jour
DOI :
10.1109/TPWRD.2009.2033799
Filename :
5337912
Link To Document :
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