Evaluation of the performance of clustering algorithms for a high voltage industrial consumer

Engineering Applications of Artificial Intelligence

Volumn 38, Issue , 2015, Pages 1-13

  Panapakidis, Ioannis ^a   Alexiadis, Minas ^a   Papagiannis, Grigoris ^a  

^a ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

Author keywords

Conditional entropy minimization clustering; Demand side management; Load modeling; Load profiles; Unsupervised machine learning

Indexed keywords

DEMAND SIDE MANAGEMENT; ELECTRIC UTILITIES; ENTROPY; PATTERN RECOGNITION;

CLUSTERING VALIDITY INDICATORS; CONDITIONAL ENTROPY; CONSUMPTION PATTERNS; INDUSTRIAL CONSUMERS; LOAD MODELING; LOAD PROFILES; PATTERN RECOGNITION ALGORITHMS; UNSUPERVISED MACHINE LEARNING;

CLUSTERING ALGORITHMS;

EID: 84916603102     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2014.10.013     Document Type: Article

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