论文部分内容阅读
With the increasing of power collecting data and meteorological data types,the accuracy of short-term load forecasting of intelligent power grid dispatching system can be improved.In order to better explore the relationship between relevant information,we research and adopt grouped multivariate regression model and deep learning platform TensorFlow by utilizing the actual load data of a region of the State Grid Cooperation of China.With comparison to actual load data,the results shows that the proposed method has higher forecasting accuracy.It is feasible in practical application.