A Comparative Study on Graph-based Ranking Algorithms for Consumer-oriented Demand Side Management

Abiodun E. Onile; Juri Belikov; Eduard Petlenkov; Yoash Levron

doi:10.1109/PowerTech46648.2021.9494752

A Comparative Study on Graph-based Ranking Algorithms for Consumer-oriented Demand Side Management

Abiodun E. Onile, Juri Belikov, Eduard Petlenkov, Yoash Levron

Electrical and Computer Engineering

Technion - Israel Institute of Technology

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

Abstract

In the recent years, the impact of urban climate change and ever-expanding needs for electricity energy calls for urgent attention. Generally, electricity can be conserved by implementing efficiency models that handle effective utilization. To set and monitor energy conservation goals at consumer end, this study presents an innovative ranking approach as Demand Side Management technique for estimating the amount of energy used by consumers toward identifying potential savings. We further present comparative analysis of five unsupervised graph-based ranking techniques such as PageRank, TrustRank, Hyperlink-induced search, Markov chain, and Differential ranking algorithms for proffering suitable solution to energy conservation problems. The various ranking methods were evaluated in the context of consumer-oriented energy services.

Original language	English
Title of host publication	2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings
ISBN (Electronic)	9781665435970
DOIs	https://doi.org/10.1109/PowerTech46648.2021.9494752
State	Published - 28 Jun 2021
Event	2021 IEEE Madrid PowerTech, PowerTech 2021 - Madrid, Spain Duration: 28 Jun 2021 → 2 Jul 2021

Publication series

Name	2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings

Conference

Conference	2021 IEEE Madrid PowerTech, PowerTech 2021
Country/Territory	Spain
City	Madrid
Period	28/06/21 → 2/07/21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Keywords

Electricity
consumer-oriented demand side management
energy conservation
graph-based ranking
innovative energy services

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Energy Engineering and Power Technology
Electrical and Electronic Engineering
Renewable Energy, Sustainability and the Environment

Access to Document

10.1109/PowerTech46648.2021.9494752

Cite this

Onile, A. E., Belikov, J., Petlenkov, E., & Levron, Y. (2021). A Comparative Study on Graph-based Ranking Algorithms for Consumer-oriented Demand Side Management. In 2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings Article 9494752 (2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings). https://doi.org/10.1109/PowerTech46648.2021.9494752

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abstract = "In the recent years, the impact of urban climate change and ever-expanding needs for electricity energy calls for urgent attention. Generally, electricity can be conserved by implementing efficiency models that handle effective utilization. To set and monitor energy conservation goals at consumer end, this study presents an innovative ranking approach as Demand Side Management technique for estimating the amount of energy used by consumers toward identifying potential savings. We further present comparative analysis of five unsupervised graph-based ranking techniques such as PageRank, TrustRank, Hyperlink-induced search, Markov chain, and Differential ranking algorithms for proffering suitable solution to energy conservation problems. The various ranking methods were evaluated in the context of consumer-oriented energy services.",

keywords = "Electricity, consumer-oriented demand side management, energy conservation, graph-based ranking, innovative energy services",

author = "Onile, {Abiodun E.} and Juri Belikov and Eduard Petlenkov and Yoash Levron",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE Madrid PowerTech, PowerTech 2021 ; Conference date: 28-06-2021 Through 02-07-2021",

year = "2021",

month = jun,

day = "28",

doi = "10.1109/PowerTech46648.2021.9494752",

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Onile, AE, Belikov, J, Petlenkov, E & Levron, Y 2021, A Comparative Study on Graph-based Ranking Algorithms for Consumer-oriented Demand Side Management. in 2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings., 9494752, 2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings, 2021 IEEE Madrid PowerTech, PowerTech 2021, Madrid, Spain, 28/06/21. https://doi.org/10.1109/PowerTech46648.2021.9494752

A Comparative Study on Graph-based Ranking Algorithms for Consumer-oriented Demand Side Management. / Onile, Abiodun E.; Belikov, Juri; Petlenkov, Eduard et al.
2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings. 2021. 9494752 (2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings).

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

TY - GEN

T1 - A Comparative Study on Graph-based Ranking Algorithms for Consumer-oriented Demand Side Management

AU - Onile, Abiodun E.

AU - Belikov, Juri

AU - Petlenkov, Eduard

AU - Levron, Yoash

PY - 2021/6/28

Y1 - 2021/6/28

N2 - In the recent years, the impact of urban climate change and ever-expanding needs for electricity energy calls for urgent attention. Generally, electricity can be conserved by implementing efficiency models that handle effective utilization. To set and monitor energy conservation goals at consumer end, this study presents an innovative ranking approach as Demand Side Management technique for estimating the amount of energy used by consumers toward identifying potential savings. We further present comparative analysis of five unsupervised graph-based ranking techniques such as PageRank, TrustRank, Hyperlink-induced search, Markov chain, and Differential ranking algorithms for proffering suitable solution to energy conservation problems. The various ranking methods were evaluated in the context of consumer-oriented energy services.

AB - In the recent years, the impact of urban climate change and ever-expanding needs for electricity energy calls for urgent attention. Generally, electricity can be conserved by implementing efficiency models that handle effective utilization. To set and monitor energy conservation goals at consumer end, this study presents an innovative ranking approach as Demand Side Management technique for estimating the amount of energy used by consumers toward identifying potential savings. We further present comparative analysis of five unsupervised graph-based ranking techniques such as PageRank, TrustRank, Hyperlink-induced search, Markov chain, and Differential ranking algorithms for proffering suitable solution to energy conservation problems. The various ranking methods were evaluated in the context of consumer-oriented energy services.

KW - Electricity

KW - consumer-oriented demand side management

KW - energy conservation

KW - graph-based ranking

KW - innovative energy services

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U2 - 10.1109/PowerTech46648.2021.9494752

DO - 10.1109/PowerTech46648.2021.9494752

M3 - منشور من مؤتمر

T3 - 2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings

BT - 2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings

T2 - 2021 IEEE Madrid PowerTech, PowerTech 2021

Y2 - 28 June 2021 through 2 July 2021

ER -

A Comparative Study on Graph-based Ranking Algorithms for Consumer-oriented Demand Side Management

Abstract

Publication series

Conference

UN SDGs

Keywords

All Science Journal Classification (ASJC) codes

Access to Document

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