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Endorsing Energy Efficiency Through Accurate Appliance-Level Power Monitoring, Automation and Data Visualization

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Networking, Intelligent Systems and Security

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 237))

Abstract

Accrediting the fast economic growth and the enhancement of people’s live standards, the overall household’s energy consumption is becoming more and more substantial. Thus, the need of conserving energy is becoming a critical task to help preserve energy resources and slow down climate change, which in turn, protects the environment. The development of an Internet of Things (IoT) system to monitor the consumer’s power consumption behavior and provides energy saving recommendation at a timely manner can be advantageous to shape the user’s energy saving habits. In this paper, we integrate the (EM)\(^3\) framework into a local IoT platform named Home-Assistant to help centralize all the connected sensors. Additionally, two smart plug systems are proposed to be part of the (EM)\(^3\) ecosystem. The plugs are employed to collect appliances energy consumption data as well as having home automation capabilities. Through Home-Assistant User Interface (UI), end-users can visualize their consumption trends together with ambient environmental data. The comparative analysis performed demonstrates great potential and highlights areas of future work focusing on integrating more sensing systems into the developed platform for the sake of enriching the existing database.

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Acknowledgements

This paper was made possible by National Priorities Research Program (NPRP) grant No. 10-0130-170288 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors.

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Authors and Affiliations

  1. Department of Electrical Engineering, Qatar University, Doha, Qatar

    Aya Sayed, Abdullah Alsalemi, Yassine Himeur & Faycal Bensaali

  2. Institute of Artificial Intelligence, De Montfort University, Leicester, UK

    Abbes Amira

Authors
  1. Aya Sayed
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  2. Abdullah Alsalemi
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  3. Yassine Himeur
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  4. Faycal Bensaali
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  5. Abbes Amira
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Corresponding author

Correspondence to Aya Sayed .

Editor information

Editors and Affiliations

  1. Faculty of Sciences and Techniques of Tangier, Abdelmalek Essaadi University, Tangier, Morocco

    Mohamed Ben Ahmed

  2. Technical University of Iasi, Iași, Romania

    Horia-Nicolai L. Teodorescu

  3. National School of Applied Sciences, Ibn Tofail University, Kénitra, Morocco

    Tomader Mazri

  4. Department of Computer Science, Avinashilingam University, Coimbatore, Tamil Nadu, India

    Parthasarathy Subashini

  5. Department of Computer Sciences, Faculty of Sciences and Techniques of Tangier, Abdelmalek Essaadi University, Tangier, Morocco

    Anouar Abdelhakim Boudhir

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Sayed, A., Alsalemi, A., Himeur, Y., Bensaali, F., Amira, A. (2022). Endorsing Energy Efficiency Through Accurate Appliance-Level Power Monitoring, Automation and Data Visualization. In: Ben Ahmed, M., Teodorescu, HN.L., Mazri, T., Subashini, P., Boudhir, A.A. (eds) Networking, Intelligent Systems and Security. Smart Innovation, Systems and Technologies, vol 237. Springer, Singapore. https://doi.org/10.1007/978-981-16-3637-0_43

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