DocumentCode :
1677552
Title :
Exploring independent component analysis for electric load profiling
Author :
Liao, Huaiwei ; Niebur, Dagmar
Author_Institution :
Center for Electr. Power Eng., Drexel Univ., Philadelphia, PA, USA
Volume :
3
fYear :
2002
fDate :
6/24/1905 12:00:00 AM
Firstpage :
2144
Lastpage :
2149
Abstract :
Electric load profile separation is important in the deregulated environment where competing entities need to assess the load demands based on partial knowledge of the system. We show that independent component analysis (ICA) allows us to estimate the loads using only a small set of active line flow measurements. ICA yields an unbiased statistical description of load behavior which can be explored for analysis, planning and economic purposes
Keywords :
load flow; load forecasting; statistical analysis; active line flow measurements; deregulated environment; economics; electric load profiling; independent component analysis; load behavior; load demands; loads estimation; planning; Aggregates; Contracts; Independent component analysis; Load forecasting; Monitoring; Power measurement; Power system measurements; Power system modeling; Power system planning; Topology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location :
Honolulu, HI
ISSN :
1098-7576
Print_ISBN :
0-7803-7278-6
Type :
conf
DOI :
10.1109/IJCNN.2002.1007473
Filename :
1007473
Link To Document :
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