Distribution Network Load Forecasting Model Based on Big Data

Power load forecasting is an important work of power sector, which is very important for making scientific and reasonable power grid planning scheme. The concept of grid planning of distribution network puts forward new requirements for power load forecasting. In this paper, under the background of grid planning of distribution network, according to the characteristics of power load in the existing power grid, the spatial load forecasting technology in the area with regulatory planning and without planning is studied respectively, and the load forecasting methods of three levels of equipment capable of providing electricity, power supply grid and area where the electricity is supplied are given from bottom to top. The results show that the error between users and residents is better than 5% in the experiment, and the error between users and residents is not more than 5%.