SHORT-TERM LOAD FORECASTING USING A CBR-ANN MODEL

摘要

This paper presents an approach based on rough set The approach improves case-based reasoning to reduce the initial information and to find similar historical daily information.The result of case-based reasoning will be put into an artificial neural network to process and then get the forecasting result.The paper provides " new method to selecting a relevant feature subset and feature weights.The experiment results on Hangzhou area show that the proposed method is feasible and promising for short-term load forecasting.