Title :
Data mining techniques applied to spatial load forecasting
Author :
Zamora, F.H.Pereyra ; Tahan, C.M.V.
Author_Institution :
Escola Polit??cnica da Universidade de S??o Paulo - Departamento de Engenharia de Energia e Automa????o El??tricas Av. Prof. Luciano Gualberto, Trav. 3, 158, Cidade Universit??ria - S??o Paulo - Brasil
Abstract :
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.
Conference_Titel :
Electricity Distribution, 2005. CIRED 2005. 18th International Conference and Exhibition on
Conference_Location :
Turin, Italy
