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Issue No.01 - January-March (2011 vol.10)
pp: 49-57
Dong Jin , University of Illinois at Urbana-Champaign
Joshua P. Juen , University of Illinois at Urbana-Champaign
David C. Bergman , 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
Dong Jin, Joshua P. Juen, David C. Bergman, Carl A. Gunter, Andrew Wright, "Nonintrusive Load-Shed Verification", IEEE Pervasive Computing, vol.10, no. 1, pp. 49-57, January-March 2011, doi:10.1109/MPRV.2010.71
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