For the problem of the classified loads in different cells with different development degrees that may cause the unbalanced cellular load distribution liable to lead to undesirable effects on the accuracy of spatial load forecasting results

a method of spatial load forecasting based on the development degree of cell load is proposed. Firstly

the electric power geographic information system is established

on which cells are generated. And the basic information is integrated including the land use information

10 kV feeder power supply area and classified load data. Secondly

the saturated load value of the total classified load density

and the development law of total classified load density are determined by the growth curve. Then the position each cell classified load density is in in the current year on the total classified load density development curve is found

as the development degree of the classified load density of each cell. Finally

the current year development degree and the total classified load density development law curve are used to forecast the size of the classified load density of each cell in the target year

then multiplied by the corresponding area

and the result is the cell load of the predicted value. An example analysis shows the correctness and the effectiveness of the method.