A Probabilistic Forecasting Method of Ultra-short-term Wind Power
A probabilistic forecasting and wind power technology, applied in forecasting, data processing applications, machine learning, etc., can solve the problems of reduced model forecasting accuracy and difficulty in adapting forecasting models
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[0023] Below in conjunction with specific embodiment, further illustrate the present invention, should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various equivalent forms of the present invention All modifications fall within the scope defined by the appended claims of the present application.
[0024] Such asfigure 1 As shown, an ultra-short-term wind power probability prediction method based on wavelet analysis and extreme learning machine, the specific steps are as follows:
[0025] 1) Analyze and study the wind farm data, extract the features closely related to the wind power data, collect the historical wind power, historical wind speed and weather type data vectors of the wind farm, and obtain the training sample set [x 1 ,x 2 ,x 3 ,x 4 ,...x 15 ,y], where y is the wind power va...
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