Short Term Load Forecasting Based on Momentum Adaptive Learning Rate Updating and Fuzzy Set

摘要

A kind of short term forecasting approach based on momentum adaptive learning rate updating and fuzzy Set is introduced. During forecasting the temperature variables, weather variables and date variables arc considered fully. The comparing of non-fuzzy processing and fuzzy processing forecast results show that forecasting method using neural fuzzy technology represents a kind of trends of load forecasting.