The Short-Term Load Forecasting by Applying the Fuzzy Neural Net

The fuzzy system used for short-term load forecasting is put forward. This system, possesses the structure of neural net and learning algorithm, addressed as fuzzy neural net FNN. FNN generates the rules with the existing history loads and supplements the rules with minimum membership method. After the parameters of rule have been amended, the output of FNN can be well coincident with the data of loads. Once being trained, FNN can forecast future loads right away.