Artificial Intelligence in Power Systems. (3-0) 3 Credit Hours

Catalog description

Prerequisite: Graduate standing or consent of instructor. Basic principles of AI tools used in electric power systems such as Artificial Neural Networks, Fuzzy Logic, Evolutionary Computing, Genetic Algorithms, Multiagent Systems, and Stochastic Optimization. Application of AI tools in electricity management, fault detection, unit commitment, operation optimization, decision-making, grid control and forecasting, and electricity market operation. It is expected that after successful completion of the class, the student will have the basic knowledge of how to develop systems applied to electric power systems and electricity markets. This course has Differential Tuition.