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Machine learning approaches to power-system security assessment

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1 Author(s)
L. Wehenkel ; Dept. of Electr. Eng., Liege Univ., Belgium

The paper discusses a framework that uses machine learning and other automatic-learning methods to assess power-system security. The framework exploits simulation models in parallel to screen diverse simulation scenarios of a system, yielding a large database. Using data mining techniques, the framework extracts synthetic information about the simulated system's main features from this database

Published in:

IEEE Expert  (Volume:12 ,  Issue: 5 )