Short term load automatic forecasting method for power system based on PSO-DBN model

In response to the problems of low prediction accuracy and high computational complexity of traditional methods, a short-term load automatic prediction method for power systems based on PSO-DBN model is proposed. Firstly, the sequence components are projected onto different scales through wavelet transform to process the sub load sequence data; Then, the PSO algorithm is used to optimize the parameters of the DBN model to improve its convergence speed and predictive performance; Finally, the optimized DBN model is used for automatic short-term load forecasting of the power system. The experimental results show that this method has high prediction accuracy and fast calculation speed, and can accurately reflect the fluctuation trend and changes of load.