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An intelligent system for energy management in smart cities based on big data and ontology

Zaoui Sayah (Department of Computer Science and New Technologies, LINATI Laboratory, KASDI Merbah University, Ouargla, Algeria)
Okba Kazar (Department of Computer Science, Intelligent Computer Science Laboratory, University Mohamed Khider of Biskra, Biskra, Algeria)
Brahim Lejdel (Department of Computer Science, University of El Oued, El Oued, Algeria)
Abdelkader Laouid (Department of Computer Science, Universite Echahid Hamma Lakhdar, El Oued, Algeria)
Ahmed Ghenabzia (Department of Computer Science and New Technologies, LINATI Laboratory, KASDI Merbah University, Ouargla, Algeria)

Smart and Sustainable Built Environment

ISSN: 2046-6099

Article publication date: 28 April 2020

Issue publication date: 17 June 2021

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Abstract

Purpose

This research paper aims at proposing a framework based on semantic integration in Big Data for saving energy in smart cities. The presented approach highlights the potential opportunities offered by Big Data and ontologies to reduce energy consumption in smart cities.

Design/methodology/approach

This study provides an overview of semantics in Big Data and reviews various works that investigate energy saving in smart homes and cities. To reach this end, we propose an efficient architecture based on the cooperation between ontology, Big Data, and Multi-Agent Systems. Furthermore, the proposed approach shows the strength of these technologies to reduce energy consumption in smart cities.

Findings

Through this research, we seek to clarify and explain both the role of Multi-Agent System and ontology paradigms to improve systems interoperability. Indeed, it is useful to develop the proposed architecture based on Big Data. This study highlights the opportunities offered when they are combined together to provide a reliable system for saving energy in smart cities.

Practical implications

The significant advancement of contemporary applications (smart cities, social networks, health care, IoT, etc.) requires a vast emergence of Big Data and semantics technologies in these fields. The obtained results provide an improved vision of energy-saving and environmental protection while keeping the inhabitants’ comfort.

Originality/value

This work is an efficient contribution that provides more comprehensive solutions to ontology integration in the Big Data environment. We have used all available data to reduce energy consumption, promote the change of inhabitant’s behavior, offer the required comfort, and implement an effective long-term energy policy in a smart and sustainable environment.

Keywords

Citation

Sayah, Z., Kazar, O., Lejdel, B., Laouid, A. and Ghenabzia, A. (2021), "An intelligent system for energy management in smart cities based on big data and ontology", Smart and Sustainable Built Environment, Vol. 10 No. 2, pp. 169-192. https://doi.org/10.1108/SASBE-07-2019-0087

Publisher

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Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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