A hybrid intelligent framework for wind power forecasting engine

Proceedings - 2014 Electrical Power and Energy Conference, EPEC 2014

Volumn , Issue , 2014, Pages 184-189

  Haque, Ashraf U ^a   Mandal, Paras ^b   Nehrir, Hashem M ^c   Bhuiya, Ashikur ^a   Baker, Robert ^a  

^a Teshmont Consultants LP   (Canada)

^b University of Texas at El Paso   (United States)

^c Idaho National Laboratory   (United States)

Author keywords

adaptive neuro fuzzy inference system; grid search; short term wind power forecasting; support vector machine; wavelet transform

Indexed keywords

ARTIFICIAL INTELLIGENCE; DATA MINING; ELECTRIC POWER TRANSMISSION NETWORKS; ENGINES; FILTRATION; FORECASTING; FUZZY INFERENCE; FUZZY SYSTEMS; NUMERICAL METHODS; SIGNAL PROCESSING; STOCHASTIC SYSTEMS; SUPPORT VECTOR MACHINES; TRACKING (POSITION); WAVELET TRANSFORMS; WIND POWER;

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; DATA-MINING TOOLS; GRID SEARCH; NUMERICAL RESULTS; SHORT-TERM WIND POWER FORECASTING; THREE DIFFERENT TECHNIQUES; WIND ENERGY INTEGRATION; WIND POWER FORECASTING;

WEATHER FORECASTING;

EID: 84949925043     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EPEC.2014.7     Document Type: Conference Paper

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