Data-Optimized Contingency Screening: A Machine Learning Approach to Power System Security
This study explores the use of machine learning algorithms to classify security levels of contingencies in power systems into safe, moderate or severe classes, and highlights machine learning as a scalable and powerful alternative to traditional contingency analysis.
Joshua Salako, Folajimi Osikomaiya, Olakorede Olamiju
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