Power System Short-Term Load Forecasting Using Artificial Neural Networks

  title={Power System Short-Term Load Forecasting Using Artificial Neural Networks},
  author={Dr. Hassan Kuhba and Hassan A. Hassan Al-Tamemi},
  • Dr. Hassan Kuhba, Hassan A. Hassan Al-Tamemi
  • Published 2016
In this paper, a multi-layer perceptron with back-propagation algorithm as learning strategy is used to train the neural networks. One of the important features of using (MLP) NNs is the weather variation such as temperature, humidity, cloudiness ... etc., can be simulated as the most essential parameters that affect on the predicted load. The proposed method, by computation of the predicted loads for different parameters variations, is demonstrated on practical system (Iraqi National Grid, 14… CONTINUE READING


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