Neural Networks in Electric Load Forecasting:A Comprehensive Survey

Subject Areas : journal of Artificial Intelligence in Electrical Engineering

Vahid Mansouri ¹ , Mohammad Esmaeil akbari ²

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Received: 2015-09-07 Accepted : 2015-09-07 Published : 2014-09-01

Keywords: Artificial Neural Networks (ANNs), Load Forecasting(LF), Short Term LF, Mid Term LF, Long Term LF, Peak LF, Unit Commitment(UC),

Abstract :

Review and classification of electric load forecasting (LF) techniques based on artificial neuralnetworks (ANN) is presented. A basic ANNs architectures used in LF reviewed. A wide range of ANNoriented applications for forecasting are given in the literature. These are classified into five groups:(1) ANNs in short-term LF, (2) ANNs in mid-term LF, (3) ANNs in long-term LF, (4) Hybrid ANNs inLF, (5) ANNs in Special applications of LF. The major research articles for each category are brieflydescribed and the related literature reviewed. Conclusions are made on future research directions.

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