Chaotic time series prediction of power system by using optimized time spectrum neural network

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Journal of Vibration and Shock ›› 2023, Vol. 42 ›› Issue (11) : 156-162.

LU Yingdong, WEI Duqu

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Abstract

Power system is a strong coupling and multivariable system, and the prediction of its multivariate chaotic time series is a difficult problem at present. In this paper, a time spectrum neural network based on optimization is proposed for chaos prediction of power system. Firstly, the potential correlation layer is used to mine the potential correlation between multivariate time series, and then the time series are converted into frequency domain signals through the sequence conversion unit to learn their characteristics. Finally, a variety of algorithms are combined to optimize the model to achieve better prediction effect. Experimental results illustrated that the optimized time spectrum neural network can not only predict the multivariable chaos of power system, but also has higher prediction accuracy and stability than other baseline models.

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neural network / power system / chaos / multivariate time series prediction / optimization algorithm

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LU Yingdong, WEI Duqu. Chaotic time series prediction of power system by using optimized time spectrum neural network[J]. Journal of Vibration and Shock, 2023, 42(11): 156-162

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