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
)
Date of Publication: Sep/Oct 1997