research-article

Profiling energy use in households and office spaces

Authors:

Salman Taherian,

George Coulouris,

Jon CrowcroftAuthors Info & Claims

e-Energy '10: Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking

Pages 21 - 30

https://doi.org/10.1145/1791314.1791318

Published: 13 April 2010 Publication History

Abstract

Energy consumption is largely studied in the context of different environments, such as domestic, corporate, industrial, and public sectors. In this paper, we discuss two environments, households and office spaces, where people have an especially strong impact on energy demand and usage. We describe an energy monitoring system which supports continuous and tailored energy feedback, and assess the level of information (energy awareness) that can be gained from time-series energy profiles. Our studies pointed to similarities between households and office spaces and motivated us to profile energy in the same way for both settings. As result, an individualized energy metric is introduced which assists (a) public sharing of energy use, (b) aggregation and combination of energy use across different environments, and (c) comparison among individuals.

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Cited By

Ghazvini MSteen DTuan L(2019)A Close-to-Real-time Energy Management System for Smart Residential Buildings2019 IEEE Milan PowerTech10.1109/PTC.2019.8810885(1-6)Online publication date: Jun-2019
https://doi.org/10.1109/PTC.2019.8810885
Khosrowpour AJain RTaylor JPeschiera GChen JGulbinas R(2018)A review of occupant energy feedback research: Opportunities for methodological fusion at the intersection of experimentation, analytics, surveys and simulationApplied Energy10.1016/j.apenergy.2018.02.148218(304-316)Online publication date: May-2018
https://doi.org/10.1016/j.apenergy.2018.02.148
Sonta ASimmons PJain R(2018)Understanding building occupant activities at scale: An integrated knowledge-based and data-driven approachAdvanced Engineering Informatics10.1016/j.aei.2018.04.00937(1-13)Online publication date: Aug-2018
https://doi.org/10.1016/j.aei.2018.04.009
Show More Cited By

Index Terms

Profiling energy use in households and office spaces
1. Human-centered computing
  1. Human computer interaction (HCI)
2. Information systems
  1. Information systems applications

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cover image ACM Other conferences

e-Energy '10: Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking

April 2010

239 pages

ISBN:9781450300421

DOI:10.1145/1791314

General Chairs:
Randy Katz
UC Berkeley
,
David Hutchison
Lancaster University, U.K.

Copyright © 2010 ACM.

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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IFIP TC6
University of Passau

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SIGCOMM: ACM Special Interest Group on Data Communication

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 April 2010

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e-Energy '10

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e-Energy '10: 1st Int'l Conf. on Energy-Efficient Computing and Networking

April 13 - 15, 2010

Passau, Germany

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Overall Acceptance Rate 160 of 446 submissions, 36%

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Cited By

Ghazvini MSteen DTuan L(2019)A Close-to-Real-time Energy Management System for Smart Residential Buildings2019 IEEE Milan PowerTech10.1109/PTC.2019.8810885(1-6)Online publication date: Jun-2019
https://doi.org/10.1109/PTC.2019.8810885
Khosrowpour AJain RTaylor JPeschiera GChen JGulbinas R(2018)A review of occupant energy feedback research: Opportunities for methodological fusion at the intersection of experimentation, analytics, surveys and simulationApplied Energy10.1016/j.apenergy.2018.02.148218(304-316)Online publication date: May-2018
https://doi.org/10.1016/j.apenergy.2018.02.148
Sonta ASimmons PJain R(2018)Understanding building occupant activities at scale: An integrated knowledge-based and data-driven approachAdvanced Engineering Informatics10.1016/j.aei.2018.04.00937(1-13)Online publication date: Aug-2018
https://doi.org/10.1016/j.aei.2018.04.009
Sonta ASimmons PJain R(2017)Towards Automated Inference of Occupant Behavioral Dynamics Using Plug-Load Energy DataComputing in Civil Engineering 201710.1061/9780784480823.035(290-297)Online publication date: 13-Jun-2017
https://doi.org/10.1061/9780784480823.035
Sonta AJain RGulbinas RMoura JTaylor J(2017)OESPG: Computational Framework for Multidimensional Analysis of Occupant Energy Use Data in Commercial BuildingsJournal of Computing in Civil Engineering10.1061/(ASCE)CP.1943-5487.000066331:4Online publication date: Jul-2017
https://doi.org/10.1061/(ASCE)CP.1943-5487.0000663
De Paola AOrtolani MLo Re GAnastasi GDas S(2014)Intelligent Management Systems for Energy Efficiency in BuildingsACM Computing Surveys10.1145/261177947:1(1-38)Online publication date: 1-Jun-2014
https://dl.acm.org/doi/10.1145/2611779
Yu YBhatti SCrowcroft JPenty RLe Boudex JShenoy P(2014)The cost of virtueProceedings of the 5th international conference on Future energy systems10.1145/2602044.2602063(157-169)Online publication date: 11-Jun-2014
https://dl.acm.org/doi/10.1145/2602044.2602063
Kamilaris AKalluri BKondepudi SKwok Wai T(2014)A literature survey on measuring energy usage for miscellaneous electric loads in offices and commercial buildingsRenewable and Sustainable Energy Reviews10.1016/j.rser.2014.03.03734(536-550)Online publication date: Jun-2014
https://doi.org/10.1016/j.rser.2014.03.037
Klingensmith NWillis DBanerjee S(2013)A Distributed Energy Monitoring and Analytics Platform and its Use CasesProceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings10.1145/2528282.2528283(1-8)Online publication date: 11-Nov-2013
https://dl.acm.org/doi/10.1145/2528282.2528283
Voinescu APetrescu STapus N(2013)Optimizing software energy usage using energy profiling2013 11th RoEduNet International Conference10.1109/RoEduNet.2013.6511745(1-5)Online publication date: Jan-2013
https://doi.org/10.1109/RoEduNet.2013.6511745
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