APPLYING FUZZY NEURAL NETWORK TO LOAD FORECAST
Zhang Hao · 1999
The accomplished forecasting system can achieve an initial fuzzy forecasting model by means of adaptive learning from historical data,and can train its parameters by BP algorithm of ANN of equivalent structure based on gradient information of real time data.Thus,the system possesses distinguished adaptive feature and self learning capability.Taking electric power load forecasting as application background,we put forward a series of experiment research.Experiment results demonstrate satisfactory performances of the intelligent forecasting system.