Research of artificial neural network based on data mining technology in power load forecasting model

Considering the importance of the peak load to the dispatching and management of the system, the error of peak load is proposed in, this paper as criteria to evaluate the effect of the forecasting model. And a new model is proposed which combining the data mining analysis and electric load forecasting. With data mining technology, the system mines the historical daily loading which has the same meteorological category as the forecastng day in order to compose data sequence with highly similar meteorological features, then, an artificial neural network is constructed to predict according to its characteristics. Using this combined model, it not only can eliminate the redundant information, but also can accelerate the training of neural network and improve the stability of the convergence. Comparing with single SVM and BP neural network, this new method can achieve greater forecasting accuracy.