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Edge AI for Internet of Energy: Challenges and Perspectives by Himeur, Yassine; Sayed, Aya Nabil; Alsalemi, Abdullah; Bensaali, Faycal; Amira, Abbes is a scholarly article available to read on EtoBox.

What is Edge AI for Internet of Energy: Challenges and Perspectives about?

The digital landscape of the Internet of Energy (IoE) is on the brink of a revolutionary transformation with the integration of edge Artificial Intelligence (AI). This comprehensive review elucidates the promise and potential that edge AI holds for reshaping the IoE ecosystem. Commencing with a meticulously curated research methodology, the article delves into the myriad of edge AI techniques specifically tailored for IoE. The myriad benefits, spanning from reduced latency and real-time analytics to the pivotal aspects of information security, scalability, and cost-efficiency, underscore the indispensability of edge AI in modern IoE frameworks. As the narrative progresses, readers are acquainted with pragmatic applications and techniques, highlighting on-device computation, secure private inference methods, and the avant-garde paradigms of AI training on the edge. A critical analysis follows, offering a deep dive into the present challenges including security concerns, computational hurdles, and standardization issues. However, as the horizon of technology ever expands, the review culminates in a forward-looking perspective, envisaging the future symbiosis of 5G networks, federated

Author

Himeur, Yassine; Sayed, Aya Nabil; Alsalemi, Abdullah; Bensaali, Faycal; Amira, Abbes

Published

2023

Language

EN