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Volumn , Issue , 2014, Pages 257-262

Wind Power Prediction Using Genetic Programming Based Ensemble of Artificial Neural Networks (GPeANN)

Author keywords

artificial neural network; forecasting; genetic programming; regression; wind power

Indexed keywords

ELECTRIC POWER SYSTEMS; GENETIC ALGORITHMS; NEURAL NETWORKS; WEATHER FORECASTING; WIND FARM; WIND TURBINES;

EID: 84937622225     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FIT.2014.55     Document Type: Conference Paper
Times cited : (8)

References (7)
  • 2
    • 0021479290 scopus 로고
    • Time series models to simulate and forecast wind speed and wind power
    • Barbara G. Brown, Richard W. Katz, and Allan H. Murphy, "Time Series Models to Simulate and Forecast Wind Speed and Wind Power," Journal of Applied Meteorology, Vol. 23, pp. 1184-1195, 1984.
    • (1984) Journal of Applied Meteorology , vol.23 , pp. 1184-1195
    • Brown, B.G.1    Katz, R.W.2    Murphy, A.H.3
  • 3
    • 79959557168 scopus 로고    scopus 로고
    • Wind power prediction by a new forecast engine composed of modified hybrid neural network and enhanced particle swarm optimization
    • N. Amjady, F. Keynia, and H. Zareipour, "Wind Power Prediction by a New Forecast Engine Composed of Modified Hybrid Neural Network and Enhanced Particle Swarm Optimization," IEEE Transactions on Sustainable Energy, Vol. 2, pp. 265-276, 2011.
    • (2011) IEEE Transactions on Sustainable Energy , vol.2 , pp. 265-276
    • Amjady, N.1    Keynia, F.2    Zareipour, H.3
  • 4
    • 84865439917 scopus 로고    scopus 로고
    • A hybrid strategy of short term wind power prediction
    • H. Peng, F. Liu, and X. Yang, "A hybrid strategy of short term wind power prediction," Renewable Energy, Vol. 50, pp. 590-595, 2013.
    • (2013) Renewable Energy , vol.50 , pp. 590-595
    • Peng, H.1    Liu, F.2    Yang, X.3
  • 5
    • 61649090211 scopus 로고    scopus 로고
    • Short-term prediction of wind farm power: A data mining approach
    • A. Kusiak, H. Zheng, and Z. Song, "Short-Term Prediction of Wind Farm Power: A Data Mining Approach," IEEE Transactions on Energy Conversion, Vol. 24, pp. 125-136, 2009.
    • (2009) IEEE Transactions on Energy Conversion , vol.24 , pp. 125-136
    • Kusiak, A.1    Zheng, H.2    Song, Z.3
  • 7
    • 60149084412 scopus 로고    scopus 로고
    • Day-ahead price forecasting of electricity markets by mutual information technique and cascaded neuro-evolutionary algorithm
    • N. Amjady and F. Keynia, "Day-Ahead Price Forecasting of Electricity Markets by Mutual Information Technique and Cascaded Neuro-Evolutionary Algorithm," IEEE transactions on power systems, Vol. 24, pp. 306-318, 2009.
    • (2009) IEEE Transactions on Power Systems , vol.24 , pp. 306-318
    • Amjady, N.1    Keynia, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.