Insights into demand-side management with big data analytics in electricity consumers’ behaviour-Reference-Cited by-同舟云学术

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Insights into demand-side management with big data analytics in electricity consumers’ behaviour

Published:2021-01 Issue: Volume:89 Page:106902
ISSN:0045-7906
Container-title:Computers & Electrical Engineering
language:en
Short-container-title:Computers & Electrical Engineering

Author:

Oprea Simona-Vasilica,Bâra Adela,Tudorică Bogdan George,Călinoiu Maria Irène,Botezatu Mihai Alexandru

Funder

Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,General Computer Science,Control and Systems Engineering

Reference25 articles.

1. Sliding time window electricity consumption optimization algorithm for communities in the context of big data processing;Oprea;IEEE Access,2019

2. Electricity smart metering customer behaviour trials (CBT) findings report,2011

3. Critical analysis of big data challenges and analytical methods;Sivarajah;J Bus Res,2017

4. Beyond the hype: Big data concepts, methods, and analytics;Gandomi;Int J Inf Manage,2015

5. Debating big data: a literature review on realizing value from big data;Günther;J Strateg Inf Syst,2017

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