Short-term wind speed forecasting using wavelet transform and support vector machines optimized by genetic algorithm

Da Liu; Dongxiao Niu; Hui Wang; Leilei Fan

doi:10.1016/j.renene.2013.08.011

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Short-term wind speed forecasting using wavelet transform and support vector machines optimized by genetic algorithm

Da Liu Dongxiao Niu Hui Wang Leilei Fan

Year: 2013 Journal: Renewable Energy Vol: 62 Pages: 592-597 Publisher: Elsevier BV

DOI: 10.1016/j.renene.2013.08.011

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Keywords:

Autocorrelation Autoregressive integrated moving average Support vector machine Partial autocorrelation function Volatility (finance) Autoregressive model Algorithm Wind speed Generalization Computer science Wavelet Granger causality Pattern recognition (psychology) Artificial intelligence Mathematics Time series Statistics Machine learning Econometrics Meteorology

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Energy Load and Power Forecasting

Physical Sciences → Engineering → Electrical and Electronic Engineering

Solar Radiation and Photovoltaics

Physical Sciences → Computer Science → Artificial Intelligence

Grey System Theory Applications

Social Sciences → Decision Sciences → Management Science and Operations Research

Short-term wind speed forecasting using wavelet transform and support vector machines optimized by genetic algorithm

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