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A Big Data Analytics Model for Household Electricity Consumption Tracking and Monitoring

Big data; Data Analytics; Electric power utilization; Energy utilization; Learning systems; Object oriented programming; BDA framework; Billing systems; Consumption patterns; descriptive analytics; Electricity-consumption; Evaluation results; Framework development; Household electricity consumption;...

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Main Authors: Dollah R., Aris H.
Other Authors: 57202188451
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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spelling my.uniten.dspace-248142023-05-29T15:27:26Z A Big Data Analytics Model for Household Electricity Consumption Tracking and Monitoring Dollah R. Aris H. 57202188451 13608397500 Big data; Data Analytics; Electric power utilization; Energy utilization; Learning systems; Object oriented programming; BDA framework; Billing systems; Consumption patterns; descriptive analytics; Electricity-consumption; Evaluation results; Framework development; Household electricity consumption; Predictive analytics The abundance of data nowadays can offer infinite opportunities and possibilities if being systematically explored. Exploration of the data can be achieved through the application of big data analytics (BDA). Consequently, a number of BDA models are seen developed in a number of sectors. Energy is one of the sectors that can potentially benefit from the BDA initative. Consumers' energy related data that come from sources such as smart meters and billing systems are good candidates for the data. Through the application of the BDA on consumers' data, useful information such as consumption pattern and trend can be obtained. Studies showed that awareness on the energy consumption is able to contribute up to 20% saving in its use. Furthermore, BDA models in energy sector, particularly on electricity that address the consumers side of the sector are still lacking. Therefore, in this research, a BDA model for household electricity consumption tracking and monitoring was developed based on the common BDA models' layers. Using the descriptive and predictive analytics to analyse the big data amassed from the consumers, the model provides the required information and prediction that enables the consumers to view, track, compare and plan their electricity consumption at home. Evaluation results showed that the model is deemed applicable and able to attain its objective. Through the proposed BDA model, consumers can be better guided in managing their electricity consumption. � 2018 IEEE. Final 2023-05-29T07:27:26Z 2023-05-29T07:27:26Z 2019 Conference Paper 10.1109/ICBDAA.2018.8629769 2-s2.0-85062777455 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062777455&doi=10.1109%2fICBDAA.2018.8629769&partnerID=40&md5=abbf20d66e1c72579cc9a5c843c6f3e5 https://irepository.uniten.edu.my/handle/123456789/24814 8629769 44 49 Institute of Electrical and Electronics Engineers Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Big data; Data Analytics; Electric power utilization; Energy utilization; Learning systems; Object oriented programming; BDA framework; Billing systems; Consumption patterns; descriptive analytics; Electricity-consumption; Evaluation results; Framework development; Household electricity consumption; Predictive analytics
author2 57202188451
author_facet 57202188451
Dollah R.
Aris H.
format Conference Paper
author Dollah R.
Aris H.
spellingShingle Dollah R.
Aris H.
A Big Data Analytics Model for Household Electricity Consumption Tracking and Monitoring
author_sort Dollah R.
title A Big Data Analytics Model for Household Electricity Consumption Tracking and Monitoring
title_short A Big Data Analytics Model for Household Electricity Consumption Tracking and Monitoring
title_full A Big Data Analytics Model for Household Electricity Consumption Tracking and Monitoring
title_fullStr A Big Data Analytics Model for Household Electricity Consumption Tracking and Monitoring
title_full_unstemmed A Big Data Analytics Model for Household Electricity Consumption Tracking and Monitoring
title_sort big data analytics model for household electricity consumption tracking and monitoring
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806427588884692992
score 13.188404

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