Machine Learning for Smart Grid Dynamics and Control

3 Credits

Introduction to smart grids, microgrids and their components, control of microgrids, introduction to neural networks and deep learning, deep learning for solving optimization problems in smart grids, machine learning based economic dispatch and optimal power flow, control of distributed energy resources, grid following and grid forming control of renewable energy, data-driven model identification using statistical learning, machine learning based control of distributed energy resources. Credit may not be given for both ECE 373 and ECE 473 . Prerequisites: MATH 205