An Analytic Hierarchy Process (AHP) Framework for Feature Evaluation of Smart Electricity Meters in India

Krishna Priya, Gobind Pillai, Arnab Jana, Tracey Crosbie, Dana Abi Ghanem, Santanu Bandyopadhyay

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

This paper presents a methodology for assessing the smartness required of an electricity meter for affordable, inclusive, and sustainable electricity access in the Global South. The multicriteria decision making tool Analytic Hierarchy Process (AHP) is utilised for developing a framework for assessing smartness. The framework relies on input from experts to assign specific weights to various criteria contributing to smartness. As an example, a select few meters available in India are evaluated based on their smartness score and affordable costs, and the insights obtained are discussed. It is shown that the framework developed provides a new means for selecting smart meters cost-effectively without compromising on sustainability.
Original languageEnglish
Title of host publication2021 56th International Universities Power Engineering Conference
Subtitle of host publicationPowering Net Zero Emissions, UPEC 2021 - Proceedings
PublisherIEEE
ISBN (Electronic)9781665443890
DOIs
Publication statusPublished - 30 Sep 2021
Event56th International Universities Power Engineering Conference - Middlesbrough, United Kingdom
Duration: 31 Aug 20213 Sep 2021
https://www.ieee-pes.org/meetings-and-conferences/conference-calendar/monthly-view/166-technically-cosponsored-by-pes/883-upec-2021

Publication series

Name2021 56th International Universities Power Engineering Conference (UPEC)

Conference

Conference56th International Universities Power Engineering Conference
Abbreviated titleUPEC
Country/TerritoryUnited Kingdom
CityMiddlesbrough
Period31/08/213/09/21
Internet address

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