Learning & Optimization of Distributed Energy Resources: SlrpEV and Hopfield Methods

SPEAKER: Scott Moura is the Clare and Hsieh Wen Shen Endowed Distinguished Professor in Civil & Environmental Engineering and Director of the Energy, Controls, & Applications Lab (eCAL) at the University of California, Berkeley. He received the B.S. degree from UC Berkeley and the M.S. and Ph.D. degrees from the University of Michigan, Ann Arbor, in 2006, 2008, and 2011, respectively. From 2011 to 2013, he was a Post-Doctoral Fellow at the Cymer Center for Control Systems and Dynamics, University of California, San Diego and a Visiting Researcher at the Centre Automatique et Systèmes, MINES ParisTech in 2013. His research interests include control, optimization, and machine learning for batteries, electrified vehicles, and distributed energy resources.