Adaptive Fuzzy Short-term Load Forecasting System

摘要

Forecasting of day load curve is a critical problem faced by power utilities. In this paper, a fuzzyrnforecasting system is designed and implemented. Its original forecasting model can be obtained byrndata learning and model parameters can then be adaptively optimized through gradient information ofrnreal-time data. Thus, the system is of extinguished adaptive feature and self-learning capability.rnExperimental results demonstrate the satisfactory performances of the intelligent forecasting system.