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

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 en...

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Published in:2021 IEEE Madrid PowerTech pp. 1 - 6
Main Authors: Onile, Abiodun E., Belikov, Juri, Petlenkov, Eduard, Levron, Yoash
Format: Conference Proceeding
Language:English
Published: IEEE 28.06.2021
Subjects:
Climate change
Computational modeling
consumer-oriented demand side management
Demand side management
Electricity
Energy conservation
Energy consumption
Energy measurement
graph-based ranking
innovative energy services
Markov processes
Search problems
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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.
AbstractList 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.
Author Belikov, Juri
Petlenkov, Eduard
Onile, Abiodun E.
Levron, Yoash
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  surname: Onile
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  givenname: Juri
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  givenname: Eduard
  surname: Petlenkov
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  givenname: Yoash
  surname: Levron
  fullname: Levron, Yoash
  email: yoashl@technion.ac.il
  organization: Technion-Israel Institute of Technology,Faculty of Electrical Engineering,Haifa,Israel
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Snippet In the recent years, the impact of urban climate change and ever-expanding needs for electricity energy calls for urgent attention. Generally, electricity can...
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SubjectTerms Climate change
Computational modeling
consumer-oriented demand side management
Demand side management
Electricity
Energy conservation
Energy consumption
Energy measurement
graph-based ranking
innovative energy services
Markov processes
Search problems
Title A Comparative Study on Graph-based Ranking Algorithms for Consumer-oriented Demand Side Management
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