A hybrid wind power forecasting model based on data mining and wavelets analysis

Energy Conversion and Management

Volumn 127, Issue , 2016, Pages 208-225

  Azimi, R ^a   Ghofrani, M ^b   Ghayekhloo, M ^a  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b UNIVERSITY OF WASHINGTON BOTHELL   (United States)

Author keywords

Data mining; Data preprocessing; Forecasting; HANTS; Wavelet decomposition; Wind power

Indexed keywords

CLUSTERING ALGORITHMS; DISCRETE WAVELET TRANSFORMS; ELECTRIC POWER GENERATION; FORECASTING; HARMONIC ANALYSIS; TIME SERIES ANALYSIS; WAVELET DECOMPOSITION; WAVELET TRANSFORMS; WEATHER FORECASTING; WIND POWER;

COMPARATIVE ANALYSIS; DATA PREPROCESSING; FORECASTING METHODS; HANTS; K-MEANS CLUSTERING METHOD; MULTI LAYER PERCEPTRON NEURAL NETWORKS (MLPNN); WIND POWER FORECASTING; WIND POWER INTEGRATIONS;

DATA MINING;

EID: 84989811566     PISSN: 01968904     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enconman.2016.09.002     Document Type: Article

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