Electric Load Forecasting Method Based on Theory of Rough Set in Decomposed Decision Attribute
Yong Yang, Yun Pu · 2007
Long period power load forecasting is for 1–5 years time. It is significant to the reasonable planning and construction of power system. The present rough set theory developed mathematical approach is not fine, because the decision attribute is not defined elaborate. On the basis of practical examples of one area data, this paper promotes a newly attribute find method. The analysis of the calculation examples shows that it is feasible to forecast the power load under the effect of data uncertainty by rough set theory. Thus it can be seen this method will put to use in other fields, such as traffic transportation as well as logistics load forecast. For the sake of that this tool is simple and the data is available.