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Locating and Sizing Smart Meter Deployment in Buildings

Published: 14 July 2015 Publication History

Abstract

The use of smart-meters is proliferating, they are now being deployed without asking the obvious question: Do we really need each of them? Beyond the cost of smart-meters, there are overheads related to installation, wiring, etc. To formally tackle this question, we first define the notion of observability that one or more pieces of information (including that from smart-meters) enable. This notion allows us to compare two different deployments of sensors with respect to their information content and their usefulness. We then examine some commonly available information from which one can infer power consumption of devices in a given space. We show how we have applied this approach to systematically decide the optimal number and location of smart-meters to ensure observability of consumption by different parts of a building.

Reference

[1]
K. Palani, N. Nasir, V. C. Prakash, A. Chugh, R. Gupta, and K. Ramamritham. Putting smart meters to work: Beyond the usual. In Proceedings of the 5th International Conference on Future Energy Systems, e-Energy '14, pages 237--238, New York, NY, USA, 2014. ACM.

Cited By

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  • (2022)Identifying Metering Hierarchies with Distance Correlation and Dominance Constraints2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA)10.1109/ICMLA55696.2022.00242(1551-1558)Online publication date: Dec-2022
  • (2020)Sensor Minimization for Energy Management in Smart Buildings2020 IEEE First International Conference on Smart Technologies for Power, Energy and Control (STPEC)10.1109/STPEC49749.2020.9297755(1-6)Online publication date: 25-Sep-2020
  • (2016)ObservabilityProceedings of the 3rd ACM International Conference on Systems for Energy-Efficient Built Environments10.1145/2993422.2993427(197-206)Online publication date: 16-Nov-2016

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  1. Locating and Sizing Smart Meter Deployment in Buildings

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    cover image ACM Conferences
    e-Energy '15: Proceedings of the 2015 ACM Sixth International Conference on Future Energy Systems
    July 2015
    334 pages
    ISBN:9781450336093
    DOI:10.1145/2768510
    Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    New York, NY, United States

    Publication History

    Published: 14 July 2015

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    Author Tags

    1. energy consumption
    2. optimal location
    3. smart metering

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    e-Energy '15 Paper Acceptance Rate 20 of 85 submissions, 24%;
    Overall Acceptance Rate 160 of 446 submissions, 36%

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    • (2022)Identifying Metering Hierarchies with Distance Correlation and Dominance Constraints2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA)10.1109/ICMLA55696.2022.00242(1551-1558)Online publication date: Dec-2022
    • (2020)Sensor Minimization for Energy Management in Smart Buildings2020 IEEE First International Conference on Smart Technologies for Power, Energy and Control (STPEC)10.1109/STPEC49749.2020.9297755(1-6)Online publication date: 25-Sep-2020
    • (2016)ObservabilityProceedings of the 3rd ACM International Conference on Systems for Energy-Efficient Built Environments10.1145/2993422.2993427(197-206)Online publication date: 16-Nov-2016

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