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How Many Smartphones Does It Take To Detect A Power Outage?

Published: 12 June 2018 Publication History

Abstract

Utilities across the world struggle to accurately measure electricity reliability on their grids; the average utility in a 109-country sample underestimates outages by a factor of 7 (relative to customers). While some utilities are addressing this challenge by installing smart meters, many utilities in emerging economies do not have the technical or budget capacity to deploy smart meters widely. In this paper, we analyze the size of deployment needed for outage detection via the GridWatch system, a novel crowdsourcing mobile application for measuring outages. Using outage data from Kenya Power and user mobility data, we consider different deployment sizes and varying levels of detection accuracy of the GridWatch app. Our results show that differences in neighborhood infrastructure and dynamics can necessitate a more than 3x difference in GridWatch deployment size to achieve the same outage detection performance, stressing the importance of deployment planning for a crowdsourced infrastructure monitoring system.

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Stamatis Karnouskos. 2011. Crowdsourcing information via mobile devices as a migration enabler towards the SmartGrid. In 2011 IEEE International Conference on Smart Grid Communications (SmartGridComm).
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Cited By

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  • (2023)A Cyber–Physical–Social Perspective on Future Smart Distribution SystemsProceedings of the IEEE10.1109/JPROC.2022.3192535111:7(694-724)Online publication date: Jul-2023
  • (2022)Measuring the reliability of SDG 7: the reasons, timing, and fairness of outage distribution for household electricity access solutionsEnvironmental Research Communications10.1088/2515-7620/ac69394:5(055001)Online publication date: 6-May-2022
  • (2022)Demand in the dark: Estimating the true scale of unmet electricity demand in Sub-Saharan AfricaThe Electricity Journal10.1016/j.tej.2022.10718935:8(107189)Online publication date: Oct-2022
  • Show More Cited By

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cover image ACM Conferences
e-Energy '18: Proceedings of the Ninth International Conference on Future Energy Systems
June 2018
657 pages
ISBN:9781450357678
DOI:10.1145/3208903
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 the author(s) 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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Published: 12 June 2018

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Cited By

View all
  • (2023)A Cyber–Physical–Social Perspective on Future Smart Distribution SystemsProceedings of the IEEE10.1109/JPROC.2022.3192535111:7(694-724)Online publication date: Jul-2023
  • (2022)Measuring the reliability of SDG 7: the reasons, timing, and fairness of outage distribution for household electricity access solutionsEnvironmental Research Communications10.1088/2515-7620/ac69394:5(055001)Online publication date: 6-May-2022
  • (2022)Demand in the dark: Estimating the true scale of unmet electricity demand in Sub-Saharan AfricaThe Electricity Journal10.1016/j.tej.2022.10718935:8(107189)Online publication date: Oct-2022
  • (2020)GridAlert: Using a Sensor-Based Technology to Monitor Power Blackouts in Kenyan HomesProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376500(1-13)Online publication date: 21-Apr-2020
  • (2019)Satellite-based assessment of electricity restoration efforts in Puerto Rico after Hurricane MariaPLOS ONE10.1371/journal.pone.021888314:6(e0218883)Online publication date: 28-Jun-2019
  • (2018)Deployment Strategies for Crowdsourced Power Outage Detection2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)10.1109/SmartGridComm.2018.8587566(1-6)Online publication date: Oct-2018
  • (2018)Without a back-up planNature Sustainability10.1038/s41893-018-0158-11:10(538-539)Online publication date: 15-Oct-2018
  • (undefined)Dingo: Digital Assistant to Grid Operators for Resilience Management of Power Distribution SystemSSRN Electronic Journal10.2139/ssrn.3975977

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