The University as an Energy Laboratory: Design and Implementation of an Energy Disaggregation System (2013-2014)
How can aggregate smart meter data be disaggregated into device-level insight?
An aggregate power signal (such as the one read by building utility meters) may be decomposed into its constituent devices such as refrigerators, computers, televisions, etc. This project team designed and implemented an energy disaggregation system to establish Duke University as a learning laboratory for energy consumptive behavior and smart meter potential. The team partnered with Duke’s Facilities Management Department in both acquiring data for developing and testing energy disaggregation algorithms as well as analyzing those data in order to provide device-level insight to identify new energy- and cost-reduction strategies.
This Team in the News
See related team, The University as a Laboratory for Smart Grid Data Analytics (2014-2015).
- Kyle Bradbury, Energy Initiative
- Leslie Collins, Pratt School of Engineering-Electrical & Computer Engineering
- Timothy Johnson, Nicholas School of the Environment-Earth and Ocean Sciences
- Kenneth Morton, Pratt School of Engineering-Electrical & Computer Engineering
- Richard Newell, Nicholas School of the Environment-Environmental Sciences and Policy
- Steven Palumbo, Duke Facilities Management
/graduate Team Members
Nicholas Czarnek, Electrical/Computer Engg-MS
Ian Kelly, Master of Environmental Management, Energy and Environment
/undergraduate Team Members
Abhishek Balakrishnan, Electrical & Computer Egr(BSE), Computer Science (BSE2)
Samuel Bursten, Public Policy Studies (AB)
Amy Wang, Electrical & Computer Egr(BSE), Computer Science (BSE2)