Methods of Training of Neural Networks for Short Term Load Forecasting in Smart Grids

  • Robert Lis
  • Artem Vanin
  • Anastasiia Kotelnikova
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10448)


Modern systems of voltage control in distribution grids need load forecast. The paper describes forecasting methods and concludes that using of artificial neural networks for this problem is preferable. It shows that for the complex real networks particle swarm method is faster and more accurate than traditional back propagation method.


Load forecasting Neural network Power quality 


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Robert Lis
    • 1
  • Artem Vanin
    • 2
  • Anastasiia Kotelnikova
    • 2
  1. 1.Wroclaw University of Science and TechnologyWroclawPoland
  2. 2.Moscow Power Engineering InstituteMoscowRussia

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