Research And Realization Of Short-term Load Forecasting Based On Fuzzy Neural Networks

A Short-term Load Forecasting(STLF) System is introduced in this thesis. This present thesis analyzes the characteristics of the load in-depth. and studies the factors which effect the precision of the load forecasting, such as the type of day, special holidays, all kind of weather factors and so on. The system analyzes and realizes the advanced deal with of historical load data, the model establishment of STLF, the remote transmission of data and functions of software and so on. The load forecasting software is developed. The software provided with a friend man-machine interface and is excellent at calculating precision and administering of data, inquiring, analysis functions and so on. Simultaneously realizing the remote data transmission.