Research on Intelligent Load Forecast in Power System Dispatching Automation

The problem of power system load forecasting is the basis for the realization of safe, economical, and efficient power system operation. Based on statistical analysis of a large amount of historical load data, according to the characteristics of electric load, considering the influence of weather temperature, day type, actual historical load and other factors on the predicted load, this article introduces a deep learning algorithm based Short-term load forecasting model. The paper analyses the model by an example and compares the error of the algorithm proposed in the article with the algorithm in literature, and finds that the algorithm in this paper is more accurate. Therefore, the short-term load forecasting model of the BP algorithm proposed in this paper is more suitable for forecasting the current period of power load. The deep learning algorithm proposed in this paper is a good method with high accuracy and small error.