Construction and simulation study of wind power prediction model based on BP neural network

Dongfang Li

doi:10.1117/12.3007257

24 October 2023 Construction and simulation study of wind power prediction model based on BP neural network

Dongfang Li

Proceedings Volume 12804, Second International Conference on Sustainable Technology and Management (ICSTM 2023); 1280431 (2023) https://doi.org/10.1117/12.3007257
Event: 2nd International Conference on Sustainable Technology and Management (ICSTM2023), 2023, Dongguan, China

Abstract

Along with the continuous urbanization process, the level of electricity consumption in China's urban and rural areas has been growing, which also generates huge pressure for the electricity load. And the introduction of wind power model provides corresponding support to relieve the pressure of electricity consumption. The use of wind power prediction model can ensure the scientific regulation of power and realize the stable transmission of power system. There are more ways for wind power prediction, and the application of wind power prediction model based on neural network can improve the use of efficiency. Therefore, the depth of neural network should be deepened. Based on the above analysis, this paper discusses the wind power prediction model based on BP neural network, and at the same time, simulation experiments are implemented. The results confirm that this model can improve the accuracy of wind power prediction, while reducing the required sample size of the neural network, enhancing its generalization ability and ensuring the stable operation of wind power.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Dongfang Li "Construction and simulation study of wind power prediction model based on BP neural network", Proc. SPIE 12804, Second International Conference on Sustainable Technology and Management (ICSTM 2023), 1280431 (24 October 2023); https://doi.org/10.1117/12.3007257

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