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Artificial Intelligent Meter development based on Advanced Metering Infrastructure technology

Author

Listed:
  • Aziz, A.F.A.
  • Khalid, S.N.
  • Mustafa, M.W.
  • Shareef, H.
  • Aliyu, G.

Abstract

Smart meter is an advanced energy meter that measures energy consumption in residential, commercial and industrial facilities with additional information related to the power system. This paper aims to review system functions of the latest smart meter technology which incorporates Advanced Metering Infrastructure (AMI). The paper also proposes future smart meter with some modification and improvement of AMI technology by introducing Artificial Intelligence Metering (AIM) techniques where the energy consumed by consumers' appliances is fully supervised by AIM. The AIM function is almost the same as AMI technology, but with some enhancement including schedule of various appliance usage by customers, PV integration and power quality monitoring. These modifications can facilitate consumers to manage their energy usage wisely, meanwhile promoting green technology to the community.

Suggested Citation

  • Aziz, A.F.A. & Khalid, S.N. & Mustafa, M.W. & Shareef, H. & Aliyu, G., 2013. "Artificial Intelligent Meter development based on Advanced Metering Infrastructure technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 191-197.
    • Handle: RePEc:eee:rensus:v:27:y:2013:i:c:p:191-197
    DOI: 10.1016/j.rser.2013.06.051
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    Citations

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    Cited by:

    1. Sharma, Konark & Mohan Saini, Lalit, 2015. "Performance analysis of smart metering for smart grid: An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 720-735.
    2. Vladimir Franki & Darin Majnarić & Alfredo Višković, 2023. "A Comprehensive Review of Artificial Intelligence (AI) Companies in the Power Sector," Energies, MDPI, vol. 16(3), pages 1-35, January.
    3. Vega, A.M. & Santamaria, F. & Rivas, E., 2015. "Modeling for home electric energy management: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 948-959.
    4. Colak, Ilhami & Fulli, Gianluca & Sagiroglu, Seref & Yesilbudak, Mehmet & Covrig, Catalin-Felix, 2015. "Smart grid projects in Europe: Current status, maturity and future scenarios," Applied Energy, Elsevier, vol. 152(C), pages 58-70.
    5. Soares, N. & Martins, A.G. & Carvalho, A.L. & Caldeira, C. & Du, C. & Castanheira, É. & Rodrigues, E. & Oliveira, G. & Pereira, G.I. & Bastos, J. & Ferreira, J.P. & Ribeiro, L.A. & Figueiredo, N.C. & , 2018. "The challenging paradigm of interrelated energy systems towards a more sustainable future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 95(C), pages 171-193.
    6. Ruiz-Romero, Salvador & Colmenar-Santos, Antonio & Mur-Pérez, Francisco & López-Rey, África, 2014. "Integration of distributed generation in the power distribution network: The need for smart grid control systems, communication and equipment for a smart city — Use cases," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 223-234.
    7. Dina A. Zaki & Mohamed Hamdy, 2022. "A Review of Electricity Tariffs and Enabling Solutions for Optimal Energy Management," Energies, MDPI, vol. 15(22), pages 1-17, November.
    8. Telles Esteves, Gheisa Roberta & Cyrino Oliveira, Fernando Luiz & Antunes, Carlos Henggeler & Souza, Reinaldo Castro, 2016. "An overview of electricity prepayment experiences and the Brazilian new regulatory framework," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 704-722.

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