“Minimizing Intrusiveness in Home Energy Measurement”, a paper written by CSEE Assisant Professor Nilanjan Banerjee, Computer Science graduate student David Lachut, and their colleagues at the University of San Francisco, was nominated for the best paper award at ACM's BuildSys workshop.

The paper outlines the design of a system that will analyze and manage energy use in homes. “The overarching goal of our work is to automate the process of adapting energy demand to meet supply, which requires a comprehensive understanding of home energy use,” explains the abstract. Banerjee and his collaborators have collected data on energy-consumption from six both on and off-grid homes. “Our techniques reduce the energy footprint of the system as well as the amount of physical infrastructure required, making adoption of the system more attractive, particularly to those who live in homes powered by renewable energy sources.”

You can learn more about Dr. Banerjee’s work with renewable-energy driven devices and green homes at the website for his Mobile, Pervasive, and Sensor Systems Laboratory.