Machine-Learning-Based Classification of Electronic Devices Using an IoT Smart Meter

Machine-Learning-Based Classification of Electronic Devices Using an IoT Smart Meter

This study investigates the implementation of artificial intelligence (AI) algorithms on resource-constrained edge devices, such as ESP32 and Raspberry Pi, within the context of smart grid (SG) applications. Specifically, it proposes a smart-meter-based system capable of classifying and detecting th...

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Bibliographic Details
Main Authors: Paulo Eugênio da Costa Filho, Leonardo Augusto de Aquino Marques, Israel da S. Felix de Lima, Ewerton Leandro de Sousa, Márcio Eduardo Kreutz, Augusto V. Neto, Eduardo Nogueira Cunha, Dario Vieira
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Informatics
Subjects:
artificial intelligence
extreme edge
IoT
smart grid
Online Access:https://www.mdpi.com/2227-9709/12/2/48
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