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

Abstract

Embodiments of the present invention provide a short-term wind speed prediction method, device, computer equipment and computer-readable storage medium based on meta-learning. It belongs to the field of wind speed prediction technology. By inputting the time series wind speed data into the basic predictor based on the cyclic neural network to obtain the first output value, the characteristics of the memorization of the cyclic neural network are fully utilized, and the time series data has more The characteristics of a good prediction effect, at the same time, input the environmental feature data to the BP neural network to obtain the second output value, use the second output value as a weighting coefficient, carry out weighted summation to the first output value, and calculate And the obtained value is used as the predicted wind speed at the target moment. By combining the cyclic neural network and BP neural network to form a combined prediction model, the wind speed prediction based on meta-learning can be realized, which can improve the accuracy and reliability of the wind speed prediction and reduce the wind speed prediction. risk and improve the utilization effect of wind energy.

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 medium based on meta-learning, which can solve the problem of low accuracy and reliability of wind speed prediction results existing in traditional technologies

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