Spatial Load Forecasting for Distribution Network Based on Cloud Theory and Cellular Automata
Li Ke · Proceedings of the CSEE · 2013
A cellular automata(CA) model to simulate the land developing for power load distribution and forecasting was proposed in urban power system planning.The knowledge representation based on cloud model was adopted to integrate the fuzziness and randomness of factors’ qualitative concept,also constituted the mapping between qualitative and quantitative analysis in this model.To obtain the last conversion rules,the CA conversion rules were trained by cloud theory in consideration of several factors affecting power load development.The proposed method is tested by a given planning area and its validity is proved by comparison the forecasting results and their real value.