A novel intelligent decision support tool for average wind speed clustering

8th International Conference on Power Electronics - ECCE Asia: "Green World with Power Electronics", ICPE 2011-ECCE Asia

Volumn , Issue , 2011, Pages 2010-2014

  Colak, I ^a   Kabalci, E ^b   Yesilbudak, M ^b   Kahraman, H T ^c  

^a GAZI UNIVERSITY   (Turkey)

^b NEVSEHIR HACI BEKTAS VELI UNIVERSITY   (Turkey)

^c KARADENIZ TECHNICAL UNIVERSITY   (Turkey)

Author keywords

hierarchical clustering; Renewable energy; wind energy; wind speed

Indexed keywords

AGGLOMERATIVE HIERARCHICAL CLUSTERING; CLUSTERING RESULTS; DATA MINING TECHNIQUES; DISTANCE METRICS; EUCLIDEAN; EUCLIDEAN DISTANCE; HIER-ARCHICAL CLUSTERING; INTELLIGENT DECISION SUPPORT; MANHATTANS; MINKOWSKI DISTANCE; NEAREST NEIGHBOR ALGORITHM; RENEWABLE ENERGIES; RENEWABLE ENERGY SOURCE; UTILIZATION RATIOS; WIND SPEED;

CLUSTER ANALYSIS; DATA MINING; DECISION SUPPORT SYSTEMS; MULTI AGENT SYSTEMS; POWER ELECTRONICS; WIND EFFECTS; WIND POWER;

CLUSTERING ALGORITHMS;

EID: 80052090088     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPE.2011.5944482     Document Type: Conference Paper

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