Short-term wind speed prediction method and device, computer equipment and storage medium

Abstract

The embodiment of the invention provides a meta-learning-based short-term wind speed prediction method and device, computer equipment and a computer readable storage medium, and belongs to the technical field of wind speed prediction. Wind speed data of a time sequence is input into a base predictor constructed based on a recurrent neural networ; so as to obtain a first output value, the characteristic that the recurrent neural network can memorize is fully utilized; the method has the characteristic of better prediction effect on the data of the time sequence; meanwhile, the environment characteristic data is input into the BP neural network; so as to obtain a second output value, the second output value is taken as a weighting coefficient to cary out weighted summation on the first output value; a value obtained by summation is taken as a predicted wind speed at a target moment; according to the method, the wind speed prediction model is formed by combining the recurrent neural network and the BP neural network, so that the wind speed prediction based on meta-learning is realized, the accuracy and reliability of wind speed prediction can be improved, the risk of wind speed prediction is reduced, and the utilization effect of wind energy is improved.

Description

technical field [0001] The present invention relates to the technical field of wind speed prediction, in particular to a short-term wind speed prediction method, device, computer equipment and computer-readable storage medium based on meta-learning. Background technique [0002] With the continuous development of society, the traditional primary energy reserves are increasingly exhausted, and primary energy will cause certain pollution to the environment. Therefore, as a clean and renewable energy, wind energy has gradually attracted the attention of countries all over the world. Wind farms need to be built in places with abundant wind resources, and on this basis, more accurate and reliable predictions of wind speed are required, so as to reduce the difficulty of making power generation plans and increase the acceptance capacity of wind power. [0003] Some wind speed prediction algorithms based on deep learning can solve the above problems to a certain extent. However, d...

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Problems solved by technology

[0004] The embodiment of the present invention provides a short-term wind speed prediction method, device, computer equipment, and computer-readable storage m

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