Since 2015, Tesla has installed a total of over one gigawatt-hour of energy storage that is critical for using renewable energy at scale. Over 20,000 customers across 40 countries are using Tesla stationary storage products for a variety of sustainable energy applications: powering filtration systems for clean water in Puerto Rico, stabilizing the grid in Australia, cooling classrooms in Hawaii, and powering entire islands in the South Pacific, etc. This talk will introduce the general efforts of Tesla's Energy Optimization Team, which develops the "brain" of its energy storage products. Optimization and machine learning techniques are utilized on all different products. A few recent projects will also be presented.
The seminars are scheduled for 1:30 pm on the dates listed above. The speakers are renowned scholars or industry experts in power and energy systems. We believe they will bring novel insights and fruitful discussions to Stanford. This seminar is offered as a 1 unit seminar course, CEE 272T/EE292T. Interested students can take this seminar course for credit by completing a project based on the topics presented in this course.
Smart Grid Seminar Organization Team,
Ram Rajagopal, Associate Professor, Civil & Environmental Engineering, and Electrical Engineering
Sila Kiliccote, Managing Director of Grid Innovations, Bits & Watts
Chin-Woo Tan, Director, Stanford Smart Grid Lab
Yuting Ji, Postdoctoral Scholar, Civil and Environmental Engineering
Dr. Dai Wang is currently a Senior Engineer at Energy Optimization Team in Tesla. He is leading the development of optimization and control software on battery storages, which are broadly implemented on Commercial, industrial and Microgrid sites. Before joining Tesla, Dr. Wang was a Senior Scientific Engineering Associate in the Grid Integration Group at Lawrence Berkeley National Laboratory. He was a key member of multiple DOE/CEC projects on the development of simulation platforms for understanding how clean vehicles interact with electric power grids. He also worked on emerging topics in energy/transportation/environmental areas, including power system cyber security, autonomous vehicles, hydrogen production and transmission, etc. Dai received his Ph.D. and B.E. degrees in Electrical
Engineering from Xi'an Jiaotong Universit