A Novel Broadband Ultrasonic Location System
UbiComp '02 Proceedings of the 4th international conference on Ubiquitous Computing
Location Aware Resource Management in Smart Homes
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
The Horus WLAN location determination system
Proceedings of the 3rd international conference on Mobile systems, applications, and services
Spatial Indexing for Location-Aware Systems
MOBIQUITOUS '07 Proceedings of the 2007 Fourth Annual International Conference on Mobile and Ubiquitous Systems: Networking&Services (MobiQuitous)
An empirical study of the potential for context-aware power management
UbiComp '07 Proceedings of the 9th international conference on Ubiquitous computing
Pervasive '09 Proceedings of the 7th International Conference on Pervasive Computing
Bluetooth Tracking without Discoverability
LoCA '09 Proceedings of the 4th International Symposium on Location and Context Awareness
Proceedings of the First ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings
Mechanical hijacking: how robots can accelerate UbiComp deployments
Proceedings of the 13th international conference on Ubiquitous computing
Smart homes or smart occupants? supporting aware living in the home
INTERACT'11 Proceedings of the 13th IFIP TC 13 international conference on Human-computer interaction - Volume Part II
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
An evidential fusion approach for activity recognition in ambient intelligence environments
Robotics and Autonomous Systems
International Journal of Communication Networks and Distributed Systems
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This paper explores the use of location-awareness to dynamically optimise the energy consumption of an office. It makes use of high-accuracy location data collected over 60 days randomly selected from a year in a commercial environment to evaluate the potential for energy savings and to motivate techniques that might be used. The results suggest that the energy expended on lighting and fast-response systems could have been cut by 50%; that 75.8% of the average user's working day was spent in their office; and that around 140Wh per PC per day could have been saved, compared to a policy that had machines on for the entirety of the working day. We also find inconsistent office usage that would make optimising slow response systems much harder.