Smart Grid with IoT and AI: Towards a Prototype

The electricity sector is undergoing a global transformation due to increasing demand, renewable integration, and the pursuit of resilience. Conventional centralized grids cannot meet these challenges effectively. Smart grids, enhanced with Internet of Things (IoT) and Artificial Intelligence (AI), provide real-time monitoring, decentralized control, and predictive optimization. This study reviews recent contributions on IoT-enabled smart grids and AI-driven intelligence, outlining architectures, communication technologies, opportunities, and challenges. It further presents a prototype design combining IoT sensing with AI analytics to demonstrate micro-level energy efficiency, renewable integration, and consumer-centric management. The results suggest that integrating IoT and AI can accelerate the transition toward sustainable, adaptive, and intelligent power systems.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-15
DOI
https://doi.org/10.5281/zenodo.17119666
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Smart Grid with IoT and AI: Towards a Prototype

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Smart Grid with IoT and AI: Towards a Prototype

article en

Abstract

The electricity sector is undergoing a global transformation due to increasing demand, renewable integration, and the pursuit of resilience. Conventional centralized grids cannot meet these challenges effectively. Smart grids, enhanced with Internet of Things (IoT) and Artificial Intelligence (AI), provide real-time monitoring, decentralized control, and predictive optimization. This study reviews recent contributions on IoT-enabled smart grids and AI-driven intelligence, outlining architectures, communication technologies, opportunities, and challenges. It further presents a prototype design combining IoT sensing with AI analytics to demonstrate micro-level energy efficiency, renewable integration, and consumer-centric management. The results suggest that integrating IoT and AI can accelerate the transition toward sustainable, adaptive, and intelligent power systems.

Zenodo (CERN European Organization for Nuclear Research)
Heifer International (US)
Affordable and clean energy
Openalex Percentile: Top 42%
Geochemistry and Geologic Mapping
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.