Short-term electric load forecasting based on accumulated weather and ACA-GRNN

According to the features of accumulated effects of weather condition and different effects for load with different weather condition,a geometric distance formula with different weights is adopted in this paper,which can speed the training and strengthen the approximation of neural network.The training process of general regression neural network(GRNN)is in fact to adjust the smooth parameterσ compared with the traditional neural network,so that different values ofσ have major impact on outputs of network.In the course of optimizing smooth parameterσ of GRNN,a new type optimization algorithm-Ant Colony Algorithm(ACA) based on population of ant colony is employed,which can reduce the subjective effects to a large extent in the course of selecting the parameters.Finally,an example is given to show the effectiveness of the model.