Rough Sets and Cellular Automate Applied to Spatial Load Forecasting

A novel spatial load forecasting (SLF) methodology for distribution network is proposed, Cellular Automata (CA) theory is used to simulate the process of urban land-use dynamic development, and forecast future land-use types of small-areas. According to fact of urban development, ascertain iterative time and adjustive time of transition rules of CA. In order to eliminate redundancies, overcome faults that land-use rules is always static and suffer influence from subjectivity in traditional methods, Rough Sets (RS) theory is used to carry out attribute-reduction for potential influencing factors during adjustive time step by step, and obtain dynamic transition rules of CA. Finally, the validity of the proposed method is validated by an actual example.