Hybrid model wind speed prediction method and system based on empirical mode decomposition and deep learning

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 invention relates to the technical field of machine learning, in particular to a mixed 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 the industrialization process, my country's energy and environmental problems are increasingly emerging. 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-speed growth for a long time. At the same time, the consumption of energy is also growing rapidly, and the degree of dependence on electricity is getting higher and higher, which leads to an increasing demand for electricity, while for electricity resources, its capacity is limited. . On the other hand, my country's economy develops unbalanced due to the great differences between regions. In the past,...

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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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