A Multi-agent Approach To Short Term Load Forecasting Problem

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

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