Toward a Smarter Grid
The power network of the future—also known as the smart grid—will have to be much more dynamic and responsive than the current electric grid, handling tremendous loads while incorporating intermittent energy production from renewable resources such as wind and solar, all while ensuring that when you or I flip a switch at home or work, the power still comes on without fail. An interdisciplinary group of engineers, economists, mathematicians, and computer scientists, including Professors Steven Low and Adam Wierman are working to develop the devices, systems, theories, and algorithms to help guide this historic transformation and make sure that it is properly managed. [Caltech feature]
Symposium on Network Economics and Game Theory
Katrina Ligett, Assistant Professor of Computer Science and Economics, Adam Wierman, Professor of Computer Science, and colleagues recently hosted the Southern California Symposium on Network Economics and Game Theory (SoCal NEGT). The Symposium brought together a hundred local students, professors, and researchers who apply game theory to analyze, design, and assess the performance of networks. The technical talks highlighted synergies between various related research areas, and encouraged discussions regarding the benefits and limitations of game theory as a performance assessment and design tool for networks. This was the sixth year for SoCal NEGT, which is organized collaboratively between Caltech, UCLA, and USC.
Iris Z. Liu Wins 2014 Bhansali Prize
Iris Z. Liu, a senior student in Computer Science advised by Mathieu Desbrun and conducting research with Adam Wierman, is the recipient of the 2014 Bhansali Prize. The Bhansali Prize is awarded to an undergraduate student for outstanding research in Computer Science in the current academic year.
With increased incorporation of renewable energy in the energy grid, energy supply becomes more intermittent. As energy demands increase, demand peak periods become more problematic for energy providers. These problems of fluctuating supply and demand necessitate demand response programs. Iris’ research with Professor Adam Wierman focuses on data centers as a particularly promising industry for demand response. Through a series of simulations, she has shown that data centers provide as much (or even more) flexibility as large-scale storage when incentivized correctly. She has compared the voltage violations and generation costs of data centers versus large-scale storage, given a particular network, demands, and loads. Through this research, she was able to highlight the potential for using data centers as demand response resources.
Dae Hyun Kim Receives 2014 Henry Ford II Scholar Award
Undergraduate student Dae Hyun Kim, working with Professor Adam Wierman, is the recipient of the 2014 Henry Ford II Scholar Award. Dae Hyun is studying computer science with broad interests including computer graphics and machine learning, as well as mathematics and neuroscience. This summer, he plans to work with Professor Shinsuke Shimojo in applying a novel eigenvector based method of analyzing brain dynamics to study inter-brain dynamics in social interaction. The Henry Ford II Scholar Award is funded under an endowment provided by the Ford Motor Company Fund. The award is made annually to the engineering student with the best academic record at the end of the third year of undergraduate study.
Henry Ford II Scholar Award
Dae Hyun Kim