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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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    1. Lee, In & Lee, Kyoochun, 2015. "The Internet of Things (IoT): Applications, investments, and challenges for enterprises," Business Horizons, Elsevier, vol. 58(4), pages 431-440.
    2. Wei, Min & Hong, Seung Ho & Alam, Musharraf, 2016. "An IoT-based energy-management platform for industrial facilities," Applied Energy, Elsevier, vol. 164(C), pages 607-619.
    3. Bhatt, Jignesh & Shah, Vipul & Jani, Omkar, 2014. "An instrumentation engineer’s review on smart grid: Critical applications and parameters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 1217-1239.
    4. Zhang, Yao & Chen, Wei & Gao, Weijun, 2017. "A survey on the development status and challenges of smart grids in main driver countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 137-147.
    5. Arghandeh, Reza & von Meier, Alexandra & Mehrmanesh, Laura & Mili, Lamine, 2016. "On the definition of cyber-physical resilience in power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1060-1069.
    6. Haider, Haider Tarish & See, Ong Hang & Elmenreich, Wilfried, 2016. "A review of residential demand response of smart grid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 166-178.
    7. Tuballa, Maria Lorena & Abundo, Michael Lochinvar, 2016. "A review of the development of Smart Grid technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 710-725.
    8. Mahmood, Anzar & Javaid, Nadeem & Razzaq, Sohail, 2015. "A review of wireless communications for smart grid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 248-260.
    9. Lu, Yang & Papagiannidis, Savvas & Alamanos, Eleftherios, 2018. "Internet of Things: A systematic review of the business literature from the user and organisational perspectives," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 285-297.
    10. Tu, Chunming & He, Xi & Shuai, Zhikang & Jiang, Fei, 2017. "Big data issues in smart grid – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 1099-1107.
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    Cited by:

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    13. 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.
    14. 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).
    15. 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.
    16. Wadim Strielkowski & Dalia Streimikiene & Alena Fomina & Elena Semenova, 2019. "Internet of Energy (IoE) and High-Renewables Electricity System Market Design," Energies, MDPI, vol. 12(24), pages 1-17, December.
    17. 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.
    18. Florentina Magda Enescu & Nicu Bizon & Adrian Onu & Maria Simona Răboacă & Phatiphat Thounthong & Alin Gheorghita Mazare & Gheorghe Șerban, 2020. "Implementing Blockchain Technology in Irrigation Systems That Integrate Photovoltaic Energy Generation Systems," Sustainability, MDPI, vol. 12(4), pages 1-30, February.
    19. Elena Korneeva & Nina Olinder & Wadim Strielkowski, 2021. "Consumer Attitudes to the Smart Home Technologies and the Internet of Things (IoT)," Energies, MDPI, vol. 14(23), pages 1-15, November.
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