Poster abstract: An in situ system for annotation of home energy data

BuildSys 2013 - Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings

Volumn , Issue , 2013, Pages

  Rollins, Sami ^a   Banerjee, Nilanjan ^b   Choudhury, Lazeeb ^a   Lachut, David ^b  

^a UNIVERSITY OF SAN FRANCISCO   (United States)

^b UNIVERSITY OF MARYLAND BALTIMORE COUNTY   (United States)

Author keywords

Energy; Sustainability

Indexed keywords

EMBEDDED SYSTEMS; INTELLIGENT BUILDINGS;

DISTRIBUTED ENERGIES; ENERGY DATA; NOVEL ALGORITHM; SITU SYSTEM; SPECIFIC PROFILE; USER ACTIVITY; USER CONTEXT;

ENERGY EFFICIENCY;

EID: 85067902110     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2528282.2528305     Document Type: Conference Paper

References (3)

1. Enrico Costanza, Sarvapali D. Ramchurn, and Nicholas R. Jennings. Understanding domestic energy consumption through interactive visualisation: a field study. In Proceedings of the 2012 ACM Conference on Ubiquitous Computing, UbiComp '12, pages 216-225, New York, NY, USA, 2012. ACM.
2. http://micasaverde.com/vera.php. Micasaverde vera 2.
3. Martin Ester, Hans-Peter Kriegel, Jörg Sander, and Xiaowei Xu. A density-based algorithm for discovering clusters in large spatial databases with noise. In Proc. of 2nd International Conference on Knowledge Discovery and Data Mining (KDD-96), pages 226-231, 1996.