A limited-data model of building energy consumption

BuildSys'10 - Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings

Volumn , Issue , 2010, Pages 67-72

  Rice, Andrew ^a   Hay, Simon ^a   Ryder Cook, Dan ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

Personal energy meter

Indexed keywords

BUILDING ENERGY CONSUMPTION; DATA MODELS; ENERGY CONSUMPTION; ENERGY SAVING; INVENTORY DATA; LONG TERM; PERSONAL ENERGY METERS; POTENTIAL IMPACTS; SENSOR INFORMATIONS;

BUILDINGS; ELECTRIC LOAD FORECASTING; ELECTRIC MEASURING INSTRUMENTS; EMBEDDED SYSTEMS; ENERGY UTILIZATION; SENSORS;

ENERGY CONSERVATION;

EID: 78650915994     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1878431.1878447     Document Type: Conference Paper

References (6)

1. D. Crawley et al. EnergyPlus: creating a new-generation building energy simulation program. Energy and Buildings, 33(4):319-331, 2001. (Pubitemid 32874877)
2. D. Crawley et al. Contrasting the capabilities of building energy performance simulation programs. Building and Environment, 43(4):661-673, 2008.
3. S. Hay and A. C. Rice. The case for apportionment. In Proc. BuildSys '09.
4. A. Hopper and A. C. Rice. Computing for the future of the planet. Phil. Trans. R. Soc. A, 366(1881):3685-3697, 2008.
5. D. J. C. MacKay. Sustainable energy - without the hot air. UIT, Cambridge, 2008.
6. A. C. Rice and O. J. Woodman. Crowd-sourcing world models with OpenRoomMap. In Proc. PerCom '10.