Xing Deng1,2, Haijian Shao1,2,*, Xia Wang3,4
Energy Engineering, Vol.117, No.5, pp. 289-299, 2020, DOI:10.32604/EE.2020.011126
Abstract Wind speed’s distribution nature such as uncertainty and randomness
imposes a challenge in high accuracy forecasting. Based on the energy distribution
about the extracted amplitude and associated frequency, the uncertainty measurement is processed through Rényi entropy analysis method with time-frequency nature. Nonparametric statistical method is used to test the randomness of wind speed,
more precisely, whether or not the wind speed time series is independent and identically distribution (i.i.d) based on the output probability. Seasonal characteristics of
wind speed are analyzed based on self-similarity in periodogram under scales range
generated by wavelet transformation to reasonably divide the original dataset and… More >
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