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

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-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 languageEnglish
Title of host publication2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings
ISBN (Electronic)9781665435970
DOIs
StatePublished - 28 Jun 2021
Event2021 IEEE Madrid PowerTech, PowerTech 2021 - Madrid, Spain
Duration: 28 Jun 20212 Jul 2021

Publication series

Name2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings

Conference

Conference2021 IEEE Madrid PowerTech, PowerTech 2021
Country/TerritorySpain
CityMadrid
Period28/06/212/07/21

Keywords

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

ASJC Scopus subject areas

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

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