An ultra-short-term wind power forecasting method based on small wavelength short-term memory network
A wind power prediction and short-term memory technology, applied in prediction, instrument, character and pattern recognition, etc., can solve the problems of reduced training efficiency, complicated model structure, etc., and achieve good prediction results
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[0017] 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.
[0018] Such as figure 1 As shown, the ultra-short-term wind power prediction method based on the small-wavelength short-term memory network of the present invention comprises the following steps:
[0019] 1) Analyze and study wind power data, extract features closely related to wind power data, collect historical data of wind farms, and obtain a training sample set; wherein, the extracted feature information includes: 20 wind power values x before the current moment 1 ,x 2 ...,x 20 As the inp...
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