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

doi:10.1109/upec50034.2021.9548151

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 proceeding › Conference 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 language	English
Title of host publication	2021 56th International Universities Power Engineering Conference
Subtitle of host publication	Powering Net Zero Emissions, UPEC 2021 - Proceedings
Publisher	IEEE
ISBN (Electronic)	9781665443890
DOIs	https://doi.org/10.1109/upec50034.2021.9548151
Publication status	Published - 30 Sept 2021
Event	56th International Universities Power Engineering Conference - Middlesbrough, United Kingdom Duration: 31 Aug 2021 → 3 Sept 2021 https://www.ieee-pes.org/meetings-and-conferences/conference-calendar/monthly-view/166-technically-cosponsored-by-pes/883-upec-2021

Publication series

Name	2021 56th International Universities Power Engineering Conference (UPEC)

Conference

Conference	56th International Universities Power Engineering Conference
Abbreviated title	UPEC
Country/Territory	United Kingdom
City	Middlesbrough
Period	31/08/21 → 3/09/21
Internet address	https://www.ieee-pes.org/meetings-and-conferences/conference-calendar/monthly-view/166-technically-cosponsored-by-pes/883-upec-2021

Access to Document

10.1109/upec50034.2021.9548151

Full textAccepted author manuscript, 310 KBLicence: CC BY-NC-ND

Cite this

Priya, K., Pillai, G., Jana, A., Crosbie, T., Abi Ghanem, D., & Bandyopadhyay, S. (2021). An Analytic Hierarchy Process (AHP) Framework for Feature Evaluation of Smart Electricity Meters in India. In 2021 56th International Universities Power Engineering Conference: Powering Net Zero Emissions, UPEC 2021 - Proceedings (2021 56th International Universities Power Engineering Conference (UPEC)). IEEE. https://doi.org/10.1109/upec50034.2021.9548151

Priya, Krishna ; Pillai, Gobind ; Jana, Arnab et al. / An Analytic Hierarchy Process (AHP) Framework for Feature Evaluation of Smart Electricity Meters in India. 2021 56th International Universities Power Engineering Conference: Powering Net Zero Emissions, UPEC 2021 - Proceedings. IEEE, 2021. (2021 56th International Universities Power Engineering Conference (UPEC)).

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

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.",

author = "Krishna Priya and Gobind Pillai and Arnab Jana and Tracey Crosbie and {Abi Ghanem}, Dana and Santanu Bandyopadhyay",

year = "2021",

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day = "30",

doi = "10.1109/upec50034.2021.9548151",

language = "English",

series = "2021 56th International Universities Power Engineering Conference (UPEC)",

publisher = "IEEE",

booktitle = "2021 56th International Universities Power Engineering Conference",

note = "56th International Universities Power Engineering Conference, UPEC ; Conference date: 31-08-2021 Through 03-09-2021",

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Priya, K, Pillai, G, Jana, A, Crosbie, T, Abi Ghanem, D & Bandyopadhyay, S 2021, An Analytic Hierarchy Process (AHP) Framework for Feature Evaluation of Smart Electricity Meters in India. in 2021 56th International Universities Power Engineering Conference: Powering Net Zero Emissions, UPEC 2021 - Proceedings. 2021 56th International Universities Power Engineering Conference (UPEC), IEEE, 56th International Universities Power Engineering Conference, Middlesbrough, United Kingdom, 31/08/21. https://doi.org/10.1109/upec50034.2021.9548151

An Analytic Hierarchy Process (AHP) Framework for Feature Evaluation of Smart Electricity Meters in India. / Priya, Krishna ; Pillai, Gobind; Jana, Arnab et al.
2021 56th International Universities Power Engineering Conference: Powering Net Zero Emissions, UPEC 2021 - Proceedings. IEEE, 2021. (2021 56th International Universities Power Engineering Conference (UPEC)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - An Analytic Hierarchy Process (AHP) Framework for Feature Evaluation of Smart Electricity Meters in India

AU - Priya, Krishna

AU - Pillai, Gobind

AU - Jana, Arnab

AU - Crosbie, Tracey

AU - Abi Ghanem, Dana

AU - Bandyopadhyay, Santanu

PY - 2021/9/30

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N2 - 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.

AB - 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.

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DO - 10.1109/upec50034.2021.9548151

M3 - Conference contribution

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PB - IEEE

T2 - 56th International Universities Power Engineering Conference

Y2 - 31 August 2021 through 3 September 2021

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Priya K, Pillai G, Jana A, Crosbie T, Abi Ghanem D, Bandyopadhyay S. An Analytic Hierarchy Process (AHP) Framework for Feature Evaluation of Smart Electricity Meters in India. In 2021 56th International Universities Power Engineering Conference: Powering Net Zero Emissions, UPEC 2021 - Proceedings. IEEE. 2021. (2021 56th International Universities Power Engineering Conference (UPEC)). doi: 10.1109/upec50034.2021.9548151

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

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