Blockchain-based prosumer incentivization for peak mitigation through temporal aggregation and contextual clustering

Peak mitigation is of interest to power companies as peak periods may require the operator to over provision supply in order to meet the peak demand. Flattening the usage curve can result in cost savings, both for the power companies and the end users. Integration of renewable energy into the energy...

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Autores principales:	Nikita Karandikar, Rockey Abhishek, Nishant Saurabh, Zhiming Zhao, Alexander Lercher, Ninoslav Marina, Radu Prodan, Chunming Rong, Antorweep Chakravorty
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Peak shaving Aggregation analysis Contextual clustering Blockchain Incentivization Information technology T58.5-58.64
Acceso en línea:	https://doaj.org/article/5538c2484e344f5aa3e325371cf8e3cb
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spelling	oai:doaj.org-article:5538c2484e344f5aa3e325371cf8e3cb2021-11-14T04:32:24ZBlockchain-based prosumer incentivization for peak mitigation through temporal aggregation and contextual clustering2666-953610.1016/j.bcra.2021.100016https://doaj.org/article/5538c2484e344f5aa3e325371cf8e3cb2021-06-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2096720921000117https://doaj.org/toc/2666-9536Peak mitigation is of interest to power companies as peak periods may require the operator to over provision supply in order to meet the peak demand. Flattening the usage curve can result in cost savings, both for the power companies and the end users. Integration of renewable energy into the energy infrastructure presents an opportunity to use excess renewable generation to supplement supply and alleviate peaks. In addition, demand side management can shift the usage from peak to off-peak times and reduce the magnitude of peaks. In this work, we present a data driven approach for incentive-based peak mitigation. Understanding user energy profiles is an essential step in this process. We begin by analysing a popular energy research dataset published by the Ausgrid corporation. Extracting aggregated user energy behavior in temporal contexts and semantic linking and contextual clustering give us insight into consumption and rooftop solar generation patterns. We implement, and performance test a blockchain-based prosumer incentivization system. The smart contract logic is based on our analysis of the Ausgrid dataset. Our implementation is capable of supporting 792,540 customers with a reasonably low infrastructure footprint.Nikita KarandikarRockey AbhishekNishant SaurabhZhiming ZhaoAlexander LercherNinoslav MarinaRadu ProdanChunming RongAntorweep ChakravortyElsevierarticlePeak shavingAggregation analysisContextual clusteringBlockchainIncentivizationInformation technologyT58.5-58.64ENBlockchain: Research and Applications, Vol 2, Iss 2, Pp 100016- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Peak shaving Aggregation analysis Contextual clustering Blockchain Incentivization Information technology T58.5-58.64
spellingShingle	Peak shaving Aggregation analysis Contextual clustering Blockchain Incentivization Information technology T58.5-58.64 Nikita Karandikar Rockey Abhishek Nishant Saurabh Zhiming Zhao Alexander Lercher Ninoslav Marina Radu Prodan Chunming Rong Antorweep Chakravorty Blockchain-based prosumer incentivization for peak mitigation through temporal aggregation and contextual clustering
description	Peak mitigation is of interest to power companies as peak periods may require the operator to over provision supply in order to meet the peak demand. Flattening the usage curve can result in cost savings, both for the power companies and the end users. Integration of renewable energy into the energy infrastructure presents an opportunity to use excess renewable generation to supplement supply and alleviate peaks. In addition, demand side management can shift the usage from peak to off-peak times and reduce the magnitude of peaks. In this work, we present a data driven approach for incentive-based peak mitigation. Understanding user energy profiles is an essential step in this process. We begin by analysing a popular energy research dataset published by the Ausgrid corporation. Extracting aggregated user energy behavior in temporal contexts and semantic linking and contextual clustering give us insight into consumption and rooftop solar generation patterns. We implement, and performance test a blockchain-based prosumer incentivization system. The smart contract logic is based on our analysis of the Ausgrid dataset. Our implementation is capable of supporting 792,540 customers with a reasonably low infrastructure footprint.
format	article
author	Nikita Karandikar Rockey Abhishek Nishant Saurabh Zhiming Zhao Alexander Lercher Ninoslav Marina Radu Prodan Chunming Rong Antorweep Chakravorty
author_facet	Nikita Karandikar Rockey Abhishek Nishant Saurabh Zhiming Zhao Alexander Lercher Ninoslav Marina Radu Prodan Chunming Rong Antorweep Chakravorty
author_sort	Nikita Karandikar
title	Blockchain-based prosumer incentivization for peak mitigation through temporal aggregation and contextual clustering
title_short	Blockchain-based prosumer incentivization for peak mitigation through temporal aggregation and contextual clustering
title_full	Blockchain-based prosumer incentivization for peak mitigation through temporal aggregation and contextual clustering
title_fullStr	Blockchain-based prosumer incentivization for peak mitigation through temporal aggregation and contextual clustering
title_full_unstemmed	Blockchain-based prosumer incentivization for peak mitigation through temporal aggregation and contextual clustering
title_sort	blockchain-based prosumer incentivization for peak mitigation through temporal aggregation and contextual clustering
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/5538c2484e344f5aa3e325371cf8e3cb
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Blockchain-based prosumer incentivization for peak mitigation through temporal aggregation and contextual clustering

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