Prediction of the Electric Energy System State with the Help of Artificial Neural Networks

V. Galina, J. Jiří, H. Dušan, and S. Václav (Czech Republic)


Electricity distribution system, simulation, artificial intelligence, neural networks, Backpropagation network, Kohonen network, ART2


Worthiness of neural networks application for prediction of emergency states in utility networks is proved on the basis of theoretical analysis and its experimental verification. Neural networks appeared to be a very promising means for this objective. Three neural network architectures were tested - Backpropagation network, Kohonen network and ART2.

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