Disaggregated End-Use Energy Sensing for the Smart Grid

by Jon Froehlich, Eric Larson, Sidhant Gupta, Gabe Cohn, Matthew S. Reynolds, and Shwetak N. Patel

Imagine an energy feedback system that displays not only total power consumption and cost, but also suggests specific cost-effective measures to improve energy efficiency. Such a system could report, for example, "Based on your energy consumption patterns, you could save US$360 per year by upgrading to a more efficient refrigerator, which would pay for itself after 21 months." The challenge in this scenario is how to sense end uses of energy to provide feedback at the individual device or appliance level. READ FULL ARTICLE (login required) »