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Future effectual role of energy delivery: A comprehensive review of Internet of Things and smart grid

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  • Reka, S. Sofana
  • Dragicevic, Tomislav

Abstract

In today's ecosystem of energy management, the contribution of Internet of Things (IoT) to smart grids has acquired immense potential due to its multi-faceted advantages in various fields. IoT paves a way to associate and virtually control everything in almost every domain of society. Conversely, the smart grid framework attracted the attention of the universal research community and the idea of merging IoT with smart grid together demonstrates enormous growth potential. This review paper highlights the most significant research works that focus on applying IoT to smart grids. This work also addresses many innovative approaches used in IoT and smart grids along with their respective applications in various fields. The objective of this work is to benefit scientists and new entrants in the field of IoT and smart grids opens up awareness for new interdisciplinary research.

Suggested Citation

  • Reka, S. Sofana & Dragicevic, Tomislav, 2018. "Future effectual role of energy delivery: A comprehensive review of Internet of Things and smart grid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 90-108.
    • Handle: RePEc:eee:rensus:v:91:y:2018:i:c:p:90-108
    DOI: 10.1016/j.rser.2018.03.089
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    Cited by:

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    14. Manfren, Massimiliano & Nastasi, Benedetto & Tronchin, Lamberto & Groppi, Daniele & Garcia, Davide Astiaso, 2021. "Techno-economic analysis and energy modelling as a key enablers for smart energy services and technologies in buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    15. Bitencourt, Hugo Vinicius & de Souza, Luiz Augusto Facury & dos Santos, Matheus Cascalho & Silva, Rodrigo & de Lima e Silva, Petrônio Cândido & Guimarães, Frederico Gadelha, 2023. "Combining embeddings and fuzzy time series for high-dimensional time series forecasting in internet of energy applications," Energy, Elsevier, vol. 271(C).
    16. Sadiq Ahmad & Ayaz Ahmad & Muhammad Naeem & Waleed Ejaz & Hyung Seok Kim, 2018. "A Compendium of Performance Metrics, Pricing Schemes, Optimization Objectives, and Solution Methodologies of Demand Side Management for the Smart Grid," Energies, MDPI, vol. 11(10), pages 1-33, October.
    17. Lim, Kai Zhuo & Lim, Kang Hui & Wee, Xian Bin & Li, Yinan & Wang, Xiaonan, 2020. "Optimal allocation of energy storage and solar photovoltaic systems with residential demand scheduling," Applied Energy, Elsevier, vol. 269(C).
    18. Wang, Huaizhi & Ruan, Jiaqi & Ma, Zhengwei & Zhou, Bin & Fu, Xueqian & Cao, Guangzhong, 2019. "Deep learning aided interval state prediction for improving cyber security in energy internet," Energy, Elsevier, vol. 174(C), pages 1292-1304.
    19. Lilia Tightiz & Hyosik Yang, 2020. "A Comprehensive Review on IoT Protocols’ Features in Smart Grid Communication," Energies, MDPI, vol. 13(11), pages 1-24, June.
    20. Joel Serey & Luis Quezada & Miguel Alfaro & Guillermo Fuertes & Rodrigo Ternero & Gustavo Gatica & Sebastian Gutierrez & Manuel Vargas, 2020. "Methodological Proposals for the Development of Services in a Smart City: A Literature Review," Sustainability, MDPI, vol. 12(24), pages 1-28, December.
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