Semi-Supervised Multi-Task Learning Based Framework for Power System Security Assessment

Muhy Eddin Za'ter, Amirhossein Sajadi, Bri-Mathias Hodge

This paper develops a novel machine learning-based framework using Semi-Supervised Multi-Task Learning (SS-MTL) for power system dynamic security assessment that is accurate, relia…