期刊名称：International Journal of Intelligent Control and Systems
印刷版ISSN：0218-7965
出版年度：2005
卷号：10
期号：1
页码：52-59
出版社：Westing Publishing Co., Fremont
摘要：Artificial Neural Network (ANN) based solutions of Short Term Load Forecasting (STLF) have gained great popularity in time-series prediction and classification tasks because of their simplicity and robustness. However, the approach of using ANN methodology alone is limited which has generated interest to explore hybrid solutions for a better alternative. This paper presents a brief review of the recent work focusing on the STLF solution based on combining ANN approach with other techniques. An intelligent multi-agent based solution of STLF is proposed that provides a better framework for building a more realistic solution.
