ACM SIGMM Interest List


Options: Use Classic View

Use Monospaced Font
Show Text Part by Default
Show All Mail Headers

Topic: [<< First] [< Prev] [Next >] [Last >>]

Print Reply
Andreas Bulling <[log in to unmask]>
Thu, 11 Mar 2010 10:29:34 +0100
Text/Plain (107 lines)
[Apologies if you receive multiple copies of this call, it has been posted
to several relevant mailing lists. Please redistribute within your own group
or among colleagues, thank you!]


IEEE Pervasive Computing
Special Issue on Pervasive Computing for Smart Energy Systems

Important Dates:

Submission Deadline: 1 Apr. 2010
Publication: Oct. - Dec. 2011


Occupants of near-future buildings won’t necessarily be able to flip a light
switch or adjust a thermostat to control building utilities. There may well
be too many devices to easily control with direct “switches;” instead, they'll
need to be driven by inferred intention or simple, intuitive, collective
control. More crucially, as about 40 percent of the energy used in the US
and most developed economies tends to be consumed in built infrastructure,
energy conservation concerns will pull our hand off the dial as environments
regulate themselves to accommodate occupants' objectives and best tend to
their comfort while minimizing energy consumption. Accordingly, smart energy
systems will be a strong application area of pervasive computing, as user
state, behavior and context are measured, inferred, and leveraged across a
variety of domains, environments, sensors, and actuators to dynamically
mitigate energy usage.

IEEE Pervasive Computing welcomes submissions on all aspects of smart
energy systems relevant to our field, including, for example:

* interactive systems for energy management;
* dynamically adaptive energy management;
* minimally invasive energy management systems (those that are simple,
   unobtrusive, easy-to-use, intuitive, and self-configuring);
* engaging wearable and mobile devices in dynamic energy management;
* wearable and sensed-infrastructure control of heating and lighting;
* sensor networks for energy monitoring and control;
* optimal collective management of diverse energy sources in living
* energy management in smart buildings;
* unified energy management across home, office, and mobile contexts;
* determining and utilizing user context in regulating energy;
* persuasive computing to encourage users to minimize energy use;
* exploiting social computing or game-like environments to encourage
   energy frugality;
* utilizing diverse media to expose real-time and integrated energy
   consumption to users;
* user interfaces to integrated and/or distributed smart energy systems;
* smart grids in relation to pervasive computing;
* smart integration of distributed, scalable, and affordable energy storage
   across appliances, buildings, and vehicles;
* security, privacy, and policy in pervasive energy systems;
* nonintrusive load monitoring (NILM) and nonintrusive appliance load
monitoring (NALM) techniques; and
* hardware and/or software systems to enable pervasive smart energy
   environments and applications.

In addition to feature-length articles, IEEE Pervasive Computing invites
work-in-progress submissions of 250 words or less. Submit a WiPs report on
your project to [log in to unmask]

Special Issue Guest Editors:

* Joe Paradiso, MIT Media Lab, [log in to unmask]
* Eve Schooler, Intel Research, [log in to unmask]
* Prabal Dutta, University of Michigan, [log in to unmask]
* Hans Gellersen, Lancaster University, [log in to unmask]

Submission Guidelines:

Submissions should be 4,000 to 6,000 words long and should follow the
magazine’s guidelines on style and presentation. All submissions will be
peer-reviewed in accordance with normal practice for scientific publications,
and will be edited according to the IEEE Computer Society editorial style.

Submissions should be received by 1 April 2010 to receive full consideration.

To submit your article directly to our online peer-review system, Manuscript
Central, visit

To explore a possible topic, please contact the guest editors.

Andreas Bulling
PhD Candidate
Research Assistant

ETH Zurich
Wearable Computing Laboratory