Artificial intelligence–enabled Internet of Things technologies in modern energy grids

Arman Behnam, Sasan Azad, Mohammadreza Daneshvar, Amjad Anvari-Moghaddam, Mousa Marzband

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Citation (Scopus)


With the emergence of the Internet of Things (IoT) and artificial intelligence (AI) technologies as a trending field, learning and scheduling applications in energy grids environment are extending. Herein, the great need is felt for analyzing the applicability of AI-enabled IoT technologies in energy systems in response to the call for smart and autonomous architecture for multicarrier energy grids. Due to this, the current chapter gives an informative description of new AI-based IoT frameworks concentrating on architecture, elements, variables, applications, and also its challenges. At first, an insight into IoT basics is provided that helps readers to go through the next sections. The required infrastructure for deploying the aforementioned technologies is discussed, explaining electronic and IoT components. Energy internet as the IoT in energy grid’s output has tremendous features that are appropriate for the grid’s performance evaluation, which is explained in this chapter. Next, IoT challenges in the smart grid are discussed, which are vital for obtaining a successful energy internet. At the end of this chapter, future research and development potentials are discussed, aiming to provide a suitable overview of future trends.

Original languageEnglish
Title of host publicationIoT Enabled Multi-Energy Systems
Subtitle of host publicationFrom Isolated Energy Grids to Modern Interconnected Networks
EditorsMohammadreza Daneshvar, Behnam Mohammadi-Ivatloo, Kazem Zare, Amjad Anvari-Moghaddam
Place of PublicationLondon
PublisherAcademic Press
ISBN (Electronic)9780323957809
ISBN (Print)9780323954211
Publication statusPublished - 3 Mar 2023

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