Space load prediction method based on fuzzy-rough set theory and spatio-temporal information

The invention provides a space load prediction method based on a fuzzy-rough set theory and spatio-temporal information. The space load prediction method is characterized by including the following steps: building an electric power GIS, and integrating the historical load and power supply area of a 10kV feeder line in the electric power GIS; dividing an area to be predicted into a plurality of power supply districts according to types of land use, determining space attribute values of each power supply district which include a load attribute, a distance attribute and an environment attribute; building a fuzzy-rough set inference rule for each type of land use, and obtaining a fuzzy-rough factor; utilizing a maximum load value over the years of the 10kV feeder line and land use information to determine a target year feeder line maximum load value, establishing a relation equation of the target year feeder line maximum load value and classification load densities, obtaining a maximum value of the density of eac