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Towards real-time, fine-grained energy analytics in buildings through mobile phones

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David CullerAuthors Info & Claims

BuildSys '12: Proceedings of the Fourth ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings

Pages 42 - 44

https://doi.org/10.1145/2422531.2422540

Published: 06 November 2012 Publication History

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Abstract

In this paper we present a system called the Energy Lens -- a system that provides deeper, real-time visibility of plug-load energy consumption in buildings. Our initial work focuses on plug-load power metering, display, and real-time aggregation, presented to the user through a mobile phone. We discuss the three main, non-trivial challenges that must be addressed to provide real-time energy analytics in buildings through mobile phones and our initial approach towards addressing each challenge.

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J. Hsu, P. Mohan, X. Jiang, J. Ortiz, S. Shankar, S. Dawson-Haggerty, and D. Culler. Hbci: human-building-computer interaction. In Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Building, BuildSys '10, pages 55--60, New York, NY, USA, 2010. ACM.

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X. Jiang, S. Dawson-Haggerty, P. Dutta, and D. Culler. Design and implementation of a high-fidelity ac metering network. In Proceedings of the 2009 International Conference on Information Processing in Sensor Networks, IPSN '09, pages 253--264, Washington, DC, USA, 2009. IEEE Computer Society.

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J. Ortiz, J. Trager, G. Saldanha, D. E. Culler, and P. K. Wright. Live, continuous energy auditing of miscellaneous electrical loads: Methodology and results. In ACEEE Summer Study on Energy Efficient Buildings 2012, ACEEE '12.

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Cited By

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Roy NPathak NMisra A(2016)Fine-grained appliance usage and energy monitoring through mobile and power-line sensingPervasive and Mobile Computing10.1016/j.pmcj.2016.01.00330:C(132-150)Online publication date: 1-Aug-2016
https://dl.acm.org/doi/10.1016/j.pmcj.2016.01.003
Roy NPathak NMisra A(2015)AARPAProceedings of the 2015 16th IEEE International Conference on Mobile Data Management - Volume 0110.1109/MDM.2015.64(213-218)Online publication date: 15-Jun-2015
https://dl.acm.org/doi/10.1109/MDM.2015.64
Jain RGulbinas RMoura JTaylor J(2015)A Spatial Analysis of Occupant Energy Efficiency by Discrete Signal Processing on GraphsComputing in Civil Engineering 201510.1061/9780784479247.009(66-73)Online publication date: 16-Jun-2015
https://doi.org/10.1061/9780784479247.009
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Towards real-time, fine-grained energy analytics in buildings through mobile phones
1. Information systems
  1. Information systems applications

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Published In

BuildSys '12: Proceedings of the Fourth ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings

November 2012

227 pages

ISBN:9781450311700

DOI:10.1145/2422531

General Chair:
George J. Pappas
University of Pennsylvania

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 06 November 2012

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SenSys '12: The 10th ACM Conference on Embedded Network Sensor Systems

November 6, 2012

Ontario, Toronto, Canada

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Roy NPathak NMisra A(2016)Fine-grained appliance usage and energy monitoring through mobile and power-line sensingPervasive and Mobile Computing10.1016/j.pmcj.2016.01.00330:C(132-150)Online publication date: 1-Aug-2016
https://dl.acm.org/doi/10.1016/j.pmcj.2016.01.003
Roy NPathak NMisra A(2015)AARPAProceedings of the 2015 16th IEEE International Conference on Mobile Data Management - Volume 0110.1109/MDM.2015.64(213-218)Online publication date: 15-Jun-2015
https://dl.acm.org/doi/10.1109/MDM.2015.64
Jain RGulbinas RMoura JTaylor J(2015)A Spatial Analysis of Occupant Energy Efficiency by Discrete Signal Processing on GraphsComputing in Civil Engineering 201510.1061/9780784479247.009(66-73)Online publication date: 16-Jun-2015
https://doi.org/10.1061/9780784479247.009
DeBruin SCampbell BDutta PPetrioli CCox LWhitehouse K(2013)MonjoloProceedings of the 11th ACM Conference on Embedded Networked Sensor Systems10.1145/2517351.2517363(1-14)Online publication date: 11-Nov-2013
https://dl.acm.org/doi/10.1145/2517351.2517363
Taneja JKrioukov ADawson-Haggerty SCuller D(2013)Enabling advanced environmental conditioning with a building application stack2013 International Green Computing Conference Proceedings10.1109/IGCC.2013.6604519(1-10)Online publication date: Jun-2013
https://doi.org/10.1109/IGCC.2013.6604519

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NITOS mobile monitoring solution: realistic energy consumption profiling of mobile devices

Energy-aware keyword search on mobile phones

Energy Efficiency of Recharging a Mobile Device

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NITOS mobile monitoring solution: realistic energy consumption profiling of mobile devices

Energy-aware keyword search on mobile phones

Energy Efficiency of Recharging a Mobile Device

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