Paying Attention to the Man behind the Curtain
Name
Cummings_paying attention.pdf
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725.18 KB
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Adobe PDF
Checksum (MD5)
7e0ed974710a216d8050671b9068089a
Author(s)
Cummings, M. L.
Thornburg, Kristopher M.
Date Issued
January 2011
Journal
IEEE Pervasive Computing
Publisher
Institute of Electrical and Electronics Engineers
Citation
Cummings, Mary L, and K M Thornburg. “Paying Attention to the Man behind the Curtain.” IEEE Pervasive Computing 10, no. 1 (January 2011): 58-62.
Version
Author's final manuscript
Abstract
In the push to develop smart energy systems, designers have increasingly focused on systems that measure and predict user behavior to effect optimal energy consumption. While such focus is an important component in these systems' success, designers have paid substantially less attention to the people on the other side of the energy system loop-the supervisors of power generation processes. Smart energy systems that leverage pervasive computing could add to these supervisory control operators' workload. They'll have to predict possible power plant load and production changes caused by environmental and plant events, as well as dynamic system adaptation in response to consumer behaviors. Contrary to many assumptions, inserting more automation, including distributed sensors and algorithms to postprocess data, won't necessarily reduce operators' workload or improve system performance.
MIT Department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Massachusetts Institute of Technology. Humans and Automation Lab
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike 3.0
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/MPRV.2011.7
