Empirical mode decomposition and deep learning hybrid model-based wind speed prediction method and system

Abstract

The invention discloses an empirical mode decomposition and deep learning hybrid model-based wind speed prediction method and system. The method comprises the following steps of S1, decomposing an original wind speed time sequence according to empirical mode decomposition so as to obtain a plurality of intrinsic mode functions; S2, establishing a training data set and a test data set for each intrinsic mode function; S3, inputting a training sample, in the training data set, of each intrinsic mode function into a stack type coding network to perform training so as to obtain a wind speed prediction sub-model; S4, inputting the test data set into corresponding wind speed prediction sub-models to perform prediction so as to obtain prediction output values of the wind speed prediction sub-models; and S5, performing combination superposition processing on the prediction output values of the wind speed prediction sub-models to obtain a final overall prediction output value. According to the method and the system, the prediction precision and robustness of the prediction models are effectively improved and higher short-term wind speed prediction precision can be achieved.

Description

technical field [0001] The present invention relates to the technical field of machine learning, in particular to a hybrid model wind speed prediction method and system based on empirical mode decomposition and deep learning. Background technique [0002] With the development of social economy and the deepening of industrialization process, the problems of energy and environment in our country are becoming more and more obvious. On the one hand, the development of my country's industrialization and urbanization continues to accelerate, and the entire social economy will maintain a medium-to-high growth rate for a relatively long period of time. At the same time, energy consumption is also growing rapidly, and the dependence on electricity is getting higher and higher, which results in an increasing demand for electricity, but for electricity resources, its capacity is limited . On the other hand, the economic development of our country is unbalanced due to the great differ...

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Problems solved by technology

[0006] The technical problem to be solved by the present invention is to provide a hybrid model wind speed prediction method and system based on empirical mode decomposition and deep learning that can effectively improve the prediction accuracy and robustness in view of the defects of low prediction accuracy in the prior art

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