Research on short term load forecasting method of distribution network based on wavelet clustering analysis

Due to the randomness and uncertainty of load change in low-voltage distribution network, this paper proposes a method based on wavelet clustering analysis and kernel function weighting to forecast transformer load in distribution network, including data preprocessing, discrete wavelet variation, hierarchical clustering analysis, kernel function weighted parameter optimization and proportion smoothing method.