Simulation decision-making for load forecast based on the improved fuzzy analytic hierarchy process
Renjun Zhou · Relay · 2005
Different methods of load forecasting can lead to very different results in power system load forecast. In order to obtain satisfied forecasting results, the decision-making methods are introduced to solve the engineering forecasting problems in the decision-making support system for electric power system planning. The model and method of simulating decision-making using knowledge-based expert system for load forecast are presented. The improved fuzzy AHP is used. A hierarchy structure is established by analyzing various factors that affect the load forecast. Fuzzy complementary judgment matrixes of pairwise comparison will be formed by expert in each hierarchy and be converted to a fuzzy consistent matrix. The eigenvector can be calculated through a general formula and be treated as weight coefficient in a manner. The method has been used to simulate the decision-making process of load forecasting engineering applications. It is characteristic of scientific decision, practice and expansion.