Conference proceeding
Application of neural networks to power system security: technology and trends
Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94), v 6, pp 3719-3723 vol.6
1994
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Abstract
This paper presents an overview of the application of artificial neural networks (NN) to power system security assessment. It is noted that although the majority of NN architectures used is the multilayered perceptron, some work has been done to use the Hopfield and the Kohonen networks. In either case, the present applications are illustrated using small power systems, and the key issues are the selection of the input data, training set and the evaluation of the NN design in terms of its accuracy in predicting the security of the power system. Most of the discussion in this paper is concerned with the latter issue since it has not been addressed extensively in the literature.< >
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Details
- Title
- Application of neural networks to power system security: technology and trends
- Creators
- R Fischl - Drexel UniversityIEEE
- Publication Details
- Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94), v 6, pp 3719-3723 vol.6
- Publisher
- IEEE
- Resource Type
- Conference proceeding
- Language
- English
- Web of Science ID
- WOS:A1994BC54C00690
- Scopus ID
- 2-s2.0-0028698111
- Other Identifier
- 991019350598404721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Automation & Control Systems
- Computer Science, Artificial Intelligence