Events Calendar

EE 598: SEMINAR 1: Data-driven Models for Dynamic Demand Response

Speaker: Saima Aman, USC Viterbi PhD Student, Computer Science

Talk Title: Data-driven Models for Dynamic Demand Response

Series: EE598 Seminar Course

Abstract: Smart Grid is the extension of the traditional electric grid with advanced technologies for communication, monitoring and control. Its goal is to gain reliability and efficiency in generation, distribution, and consumption, and ultimately achieve energy sustainability. Demand response (DR) is a key component of Smart Grid that deals with the customers reducing their electricity consumption during peak load periods when asked by the utility. The next challenge in DR research is to achieve dynamic demand response (D2R) which deals with dynamic decision making about when, by how much, and how to reduce electricity use by the consumers in response to dynamically changing conditions of generation and consumption. In Smart Grid, fine grained and rich variety of spatio-temporal data is available which can be leveraged to build data-driven models to aid decision making for D2R.

Biography: Saima Aman is a Ph.D. student in Computer Science and Research Assistant at the Center for Energy Informatics, University of Southern California, Los Angeles. Her current research is focused on applying data analytics to the problem of dynamic demand response in smart grids, including both direct building controls and voluntary curtailment by consumers, to achieve reliable and efficient grid operations. She received her M.S. in Computer Science from the University of Ottawa, Canada, and B.Tech. in Computer Engineering from AMU, India. She is a member of IEEE and AAAI.

Host: Professor Viktor K. Prasanna

More Information: Course Announcement_EE598_Focused on parallel and distributed computing_(Spring 2013).pdf

Location: Hughes Aircraft Electrical Engineering Center (EEB) -

Audiences: Graduate

Contact: Janice Thompson