The Internet of Things (IoT) is revolutionizing the way we live and work. One area where IoT is making a significant impact is in the development of Smart Grids (SGs). A recent review paper by Mazhar et al. published in Electronics Journal in 2023, titled “Analysis of Challenges and Solutions of IoT in Smart Grids Using AI and Machine Learning Techniques: A Review”, explores the challenges and solutions of integrating IoT with SGs using Artificial Intelligence (AI) and Machine Learning (ML) techniques.
According to the paper, SGs use automation, sensors, and remote controls to increase comfort, security, and energy efficiency. IoT sensors monitor “smart” construction elements, which can enhance interiors. IoT-based “SGs,” which monitor a building’s temperature, security, and maintenance, are made more accessible by smartphones and tablets. The IoT’s ability to link many sensors allows it to collect and analyze data in real-time, leading to more innovative and user-friendly buildings.
The authors discuss how integrating IoT technology with ML can increase energy efficiency in SGs. They also explore various machine learning methods that can be used in SGs, such as classification algorithms for security purposes. The paper also highlights the challenges faced by IoT-enabled SGs, including issues related to standardization, reaction speed, and security.
Overall, this review paper provides valuable insights into the potential of integrating IoT with SGs using AI and ML techniques. It highlights the benefits of this integration, as well as the challenges that need to be addressed to fully realize its potential.
Source : Mazhar, T.; Irfan, H.M.; Haq, I.; Ullah, I.; Ashraf, M.; Shloul,T.A.; Ghadi, Y.Y.; Imran; Elkamchouchi, D.H. Analysis of Challenges and Solutions of IoT in Smart Grids Using AI and Machine Learning Techniques: A Review. Electronics 2023, 12, 242.
