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Wind speed prediction method, device and apparatus

A technology for wind speed forecasting and forecasting results, applied in the computer field, can solve problems such as difficulty in processing highly nonlinear wind speed data, and achieve the effect of improving forecasting accuracy

Inactive Publication Date: 2018-12-11
GUANGDONG UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a wind speed prediction method, device, equipment and computer-readable storage medium to solve the problem that traditional prediction models tend to fall into local optimum and it is difficult to deal with highly nonlinear wind speed data

Method used

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  • Wind speed prediction method, device and apparatus

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Embodiment Construction

[0046] The core of the present invention is to provide a wind speed prediction method, device, equipment and computer-readable storage medium, which reduces the nonlinearity of the wind speed data sequence used for prediction, avoids the problem that the neural network falls into a local optimum, and improves the prediction efficiency. precision.

[0047] In order to enable those skilled in the art to better understand the solution of the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. Apparently, the described embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0048] A kind of wind speed prediction method embodiment prov...

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Abstract

A wind speed prediction method is disclosed. The wind speed data sequence for prediction can be determined, the wind speed data sequence can be decomposed and reconstructed by a wavelet algorithm, andeach sub-sequence can be predicted by the neural network optimized by a cuckoo algorithm which is trained beforehand, so that a plurality of sub-prediction results can be obtained, and finally the final prediction results can be determined according to each sub-prediction results. Therefore, according to the characteristic that wavelet algorithm can reduce the fluctuation of wind speed data, thewavelet algorithm is used to reduce the high nonlinearity of wind speed data sequence, and the cuckoo algorithm is used to optimize neural network so as to effectively avoid the problem that neural network is trapped into local optimization, and finally improve the prediction accuracy. The invention also provides a wind speed prediction device and apparatus and a computer-readable storage medium,the function of which corresponds to the method.

Description

technical field [0001] The present invention relates to the field of computers, in particular to a wind speed prediction method, device, equipment and computer-readable storage medium. Background technique [0002] In recent years, with the rapid development and utilization of wind energy, the installed capacity of wind power has risen sharply, and the global wind power industry has flourished. However, due to the intermittent and random nature of wind power generation, there are many challenges in integrating wind power generation with traditional grid systems, including energy generation planning and turbine maintenance scheduling, safe operation of the grid system and changes in interconnection standards, etc. To alleviate the above-mentioned problems caused by the integration of wind energy into the power system, accurate dynamic wind speed prediction through reliable methods is becoming more and more important. Wind speed prediction is an important way to obtain accura...

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06G06N3/00
CPCG06N3/006G06Q10/04G06Q50/06
Inventor 曾云殷豪孟安波黄圣权
Owner GUANGDONG UNIV OF TECH
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