A New Approach to Load Forecasting: Using Semi-parametric Method and Neural Networks

  • Abhisek Ukil
  • Jaco Jordaan
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4233)


A new approach to electrical load forecasting is investigated. The method is based on the semi-parametric spectral estimation method that is used to decompose a signal into a harmonic linear signal model and a non-linear part. A neural network is then used to predict the non-linear part. The final predicted signal is then found by adding the neural network predicted non-linear part and the linear part. The performance of the proposed method seems to be more robust than using only the raw load data.


Power System Load Forecast Complex Conjugate Pair Neural Network Toolbox Auto Regressive 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Abhisek Ukil
    • 1
  • Jaco Jordaan
    • 1
  1. 1.Tshwane University of TechnologyPretoriaSouth Africa

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