The authors suggest that smart energy management will be an important application area for pervasive computing, as the pressing societal need for a solution is clear and there is a close fit with technologies and approaches being developed under the pervasive rubric. They present five full papers, including a comprehensive survey spanning four decades of smart energy research, recent results from a UK study of home-deployed smart energy systems that involved both persuasive media and diverse energy-consumption sensing, nonintrusive load identification and estimation, and minimally intrusive load shedding. A short Spotlight article highlights the need to systematically integrate human management into the complex control schemes that these smart grid schemes will enable.
%0 Journal Article
%1 x.01_11pervasive
%A Paradiso, Joseph
%A Dutta, Prabal
%A Gellersen, Hans
%A Schooler, Eve
%D 2011
%J IEEE Pervasive Computing
%K v1205 ieee paper embedded ai adaptive green engineering economy
%P 11-12
%R 10.1109/MPRV.2011.4
%T Smart Energy Systems
%U http://www.computer.org/portal/web/csdl/abs/mags/pc/2011/01/mpc01toc.htm
%V 10
%X The authors suggest that smart energy management will be an important application area for pervasive computing, as the pressing societal need for a solution is clear and there is a close fit with technologies and approaches being developed under the pervasive rubric. They present five full papers, including a comprehensive survey spanning four decades of smart energy research, recent results from a UK study of home-deployed smart energy systems that involved both persuasive media and diverse energy-consumption sensing, nonintrusive load identification and estimation, and minimally intrusive load shedding. A short Spotlight article highlights the need to systematically integrate human management into the complex control schemes that these smart grid schemes will enable.
@article{x.01_11pervasive,
abstract = {The authors suggest that smart energy management will be an important application area for pervasive computing, as the pressing societal need for a solution is clear and there is a close fit with technologies and approaches being developed under the pervasive rubric. They present five full papers, including a comprehensive survey spanning four decades of smart energy research, recent results from a UK study of home-deployed smart energy systems that involved both persuasive media and diverse energy-consumption sensing, nonintrusive load identification and estimation, and minimally intrusive load shedding. A short Spotlight article highlights the need to systematically integrate human management into the complex control schemes that these smart grid schemes will enable.},
added-at = {2012-06-02T14:15:04.000+0200},
author = {Paradiso, Joseph and Dutta, Prabal and Gellersen, Hans and Schooler, Eve},
biburl = {https://www.bibsonomy.org/bibtex/21d297fe93f2c9ab1a39b7af32efea4ad/flint63},
doi = {10.1109/MPRV.2011.4},
groups = {public},
interhash = {ac098ab3281db9a587124b307eef3d22},
intrahash = {1d297fe93f2c9ab1a39b7af32efea4ad},
journal = {IEEE Pervasive Computing},
keywords = {v1205 ieee paper embedded ai adaptive green engineering economy},
pages = {11-12},
timestamp = {2012-06-02T14:17:45.000+0200},
title = {Smart Energy Systems},
url = {http://www.computer.org/portal/web/csdl/abs/mags/pc/2011/01/mpc01toc.htm},
username = {flint63},
volume = 10,
year = 2011
}