Machine Learning in Power System Dynamic Security Assessment

Abstract

This Special Issue will deal with novel approaches to the power system dynamic security assessment, and related power disturbance issues, which are based on the applications of machine learning, deep learning, and reinforcement learning techniques. It will also deal with problems related to advanced data acquisition (wide-area measurement systems) and data-sets preparation (statistical processing, features engineering, encoding, embedding).

Publication
Energies
Petar Sarajčev
Petar Sarajčev
Full Professor | Department of Power Grids and Substations