Issue No. 01 - January-March (2011 vol. 10)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MPRV.2010.71
David C. Bergman , University of Illinois at Urbana-Champaign
Dong Jin , University of Illinois at Urbana-Champaign
Joshua P. Juen , University of Illinois at Urbana-Champaign
Naoki Tanaka , University of Illinois at Urbana-Champaign
Carl A. Gunter , University of Illinois at Urbana-Champaign
Andrew Wright , N-Dimension Solutions
Smart-grid support for demand response lets electricity service providers shed loads during peak usage periods with minimal consumer inconvenience. Direct load control is a strategy in which consumers enroll appliances, such as electric water heaters, air conditioners, and electric vehicles, in a program to respond to load-shed instructions in exchange for a discount on electricity prices or other incentives. Direct control's effectiveness depends on the provider's ability to verify that appliances respond to load-shed instructions. Nonintrusive load monitoring, in which electric power meters identify loads generated by specific appliances, provides a practical strategy for load-shed verification in residences. Nonintrusive load-shed verification simplifies the trust assumptions required for direct-control deployment.
smart grid, nonintrusive load monitoring, demand response, demand side management, cybersecurity, pervasive computing
C. A. Gunter, N. Tanaka, J. P. Juen, D. C. Bergman, D. Jin and A. Wright, "Nonintrusive Load-Shed Verification," in IEEE Pervasive Computing, vol. 10, no. , pp. 49-57, 2010.