A pattern recognition methodology for evaluation of load profiles and typical days of large electricity customers

George J. Tsekouras; P.B. Kotoulas; C. D. Tsirekis; E.N. Dialynas; Nikos Hatziargyriou

doi:10.1016/j.epsr.2008.01.010

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A pattern recognition methodology for evaluation of load profiles and typical days of large electricity customers

George J. Tsekouras P.B. Kotoulas C. D. Tsirekis E.N. Dialynas Nikos Hatziargyriou

Year: 2008 Journal: Electric Power Systems Research Vol: 78 (9)Pages: 1494-1510 Publisher: Elsevier BV

DOI: 10.1016/j.epsr.2008.01.010

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Keywords:

Cluster analysis Electricity Computer science Term (time) Fuzzy logic Set (abstract data type) Hierarchical clustering Data mining Process (computing) Voltage Fuzzy set Artificial intelligence Industrial engineering Operations research Pattern recognition (psychology) Engineering Electrical engineering

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Topics

Energy Load and Power Forecasting

Physical Sciences → Engineering → Electrical and Electronic Engineering

Power Quality and Harmonics

Physical Sciences → Engineering → Electrical and Electronic Engineering

Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

A pattern recognition methodology for evaluation of load profiles and typical days of large electricity customers

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