Computer Science Colloquium
Friday, December 02
2:35pm in Wege Auditorium
Smart Meters for Smart Cities: Data Analytics in Energy-Aware Buildings
The proliferation of smart energy meters has resulted in many opportunities for next-generation buildings. Energy-aware “smart buildings” may optimize their energy consumption and provide convenience and economic benefits through analysis of their meter data. However, storing and analyzing this data presents computational challenges, especially when conducted at scale. In this talk, I discuss our work on several problems in this space, focusing particularly on efficient compression of smart meter data and the disaggregation of building-wide consumption into individual device consumption. Our work in these areas aims to support the development of sustainable, energy-efficient smart cities and smart grids.
Sean Barker ’09 is an Associate Professor of Computer Science at Bowdoin College. He received his Ph.D. and M.S. in Computer Science from the University of Massachusetts Amherst in 2014 and 2012, respectively, and his B.A. in Computer Science from Williams College in 2009. His research interests are broadly in the areas of energy data analytics, building infrastructure, and distributed systems.