Data mining techniques applied to spatial load forecasting

Load forecasting in distribution systems is essentially important and it is a challenge due to its spatial diversity associated to the land-use and consumers that inhabit on it. Many factors should be considered, such as: which type of land-use exists and will exist and which type of energy consumption the territory in analysis has or will have; when new substations and new feeders should be built or when existent facilities should be reinforced; where to plan new lines and structures.