Leveraging Social Networks To Motivate Individuals to Reduce their Ecological Footprints
HICSS '07 Proceedings of the 40th Annual Hawaii International Conference on System Sciences
Communications of the ACM
The potential for location-aware power management
UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
UbiComp '07 Proceedings of the 9th international conference on Ubiquitous computing
Profiling energy use in households and office spaces
Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking
Building-level occupancy data to improve ARIMA-based electricity use forecasts
Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Building
Granger causality analysis on IP traffic and circuit-level energy monitoring
Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Building
HBCI: human-building-computer interaction
Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Building
A limited-data model of building energy consumption
Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Building
Following the electrons: methods for power management in commercial buildings
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Accurate real-time occupant energy-footprinting in commercial buildings
BuildSys '12 Proceedings of the Fourth ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings
Take it personally: personal accountability and energy consumption in domestic households
CHI '13 Extended Abstracts on Human Factors in Computing Systems
BOSS: building operating system services
nsdi'13 Proceedings of the 10th USENIX conference on Networked Systems Design and Implementation
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Apportioning the total energy consumption of a building or organisation to individual users may provide incentives to make reductions. We explore how sensor systems installed in many buildings today can be used to apportion energy consumption between users. We investigate the differences between a number of possible policies to evaluate the case for apportionment based on energy and usage data collected over the course of a year. We also study the additional possibilities offered by more fine-grained data with reference to case studies for specific shared resources, and discuss the potential and challenges for future sensor systems in this area.