Renewable energy short-term prediction method based on data mining and variational mode decomposition
A technology of variational mode decomposition and renewable energy, which is applied in forecasting, neural learning methods, data processing applications, etc., can solve the problems of insufficient analysis and processing of renewable energy signals, single forecasting method, and insufficient extraction of relevant features for forecasting days
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[0102] Below in conjunction with accompanying drawing and embodiment the present invention will be further described:
[0103] In order to clearly illustrate the technical features of this solution, the present invention will be described in detail below through specific implementation modes and in conjunction with the accompanying drawings. The following disclosure provides many different embodiments or examples for implementing different structures of the present invention. To simplify the disclosure of the present invention, components and arrangements of specific examples are described below. Furthermore, the present invention may repeat reference numerals and / or letters in different instances. This repetition is for the purpose of simplicity and clarity and does not in itself indicate a relationship between the various embodiments and / or arrangements discussed. It should be noted that components illustrated in the figures are not necessarily drawn to scale. Description...
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