Power System Short-term Load Forecasting Based on Empirical Mode Decomposition and Artificial Fish-swarm Algorithm of Neural Network

This paper proposes a hybrid model based on Empirical Mode Decomposition(EMD),RBF based on artificial fish-swarm algorithm and BP Nature Network as a short-term load forecasting model.At first,based on EMD,the load series are decomposed into different lots of calm series,then according to the feature of decomposed components different RBF based on artificial fish-swarm algorithm neural network model,finally using the BP network to reconstructed the forecasted signals of the components and abstain the ultimate forecasting result.