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)

Keywords

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

Abstract

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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• DOI:
• From Proceeding (506) Power, Energy, and Applications - 2006

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