154 Power System Load Forecasting Based on Fuzzy AHP and Entropy Method

Power load forecasting is one of the important parts in power system planning. This paper focused on the research of load forecasting and proposed an improved fuzzy AHP for mid-long term load forecasting. Firstly, Triangular fuzzy number is introduced to the model for indicating the judgments of experts, and then entropy method was introduced to ascertain the weights of model-evaluation indexes; variance-covariance optimization combination method was used to ascertain the weights of each single model under each evaluation index respectively, and determine the combined weights of combination forecasting model. Finally, The experiment results shown that the presented algorithm could fit the medium and long term load forecasting better than other traditional approaches.