American International Journal of Advanced Research and Development

E-ISSN: XXXX-XXXX   •   Impact Factor: -

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 5 (September-October 2026) Submit your research before last 3 days of October to publish your research paper in the issue of September-October.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 8 Issue 5
September-October 2026

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Smart Grid Technologies Using IoT-Based Management Systems

Author(s) Dr. Matteo Rossi
Country Italy
Abstract Smart grid technologies are transforming conventional electricity networks into intelligent, connected, and responsive energy systems through the integration of advanced communication, sensing, automation, distributed energy resources, and data management technologies. Internet of Things (IoT)-based management systems provide an important foundation for smart grid development by enabling real-time monitoring, information exchange, predictive analysis, demand management, and intelligent operational control. This paper examines smart grid technologies using IoT-based management systems through a conceptual and literature-based research approach.
The study focuses on smart meters, IoT sensors, communication networks, distributed energy resources, demand response, predictive maintenance, energy monitoring, fault detection, and intelligent grid management. The analysis indicates that IoT-enabled smart grids can improve operational visibility, support real-time energy management, facilitate integration of renewable energy resources, and strengthen decision-making. Edge and cloud computing can provide complementary capabilities for processing large volumes of grid data, while artificial intelligence can support forecasting, anomaly detection, and optimization. However, implementation is associated with challenges involving cybersecurity, privacy, interoperability, communication reliability, infrastructure costs, data management, and system scalability.
The study emphasizes the importance of integrated IoT architectures that connect sensing devices, smart meters, communication networks, edge and cloud platforms, analytics systems, and grid management applications. Future research should investigate AI-enabled grid optimization, digital twins, decentralized energy management, secure IoT communication, edge intelligence, renewable energy integration, and intelligent demand response. The study concludes that IoT-based management systems can provide a strong technological foundation for developing reliable, efficient, adaptive, and intelligent smart grids when supported by secure communication, interoperable infrastructure, accurate data, and effective energy management practices.
Keywords Smart Grid, Internet of Things, IoT-Based Management, Smart Meters, Energy Management, Demand Response, Grid Monitoring, Renewable Energy, Edge Computing, Intelligent Energy Systems
Field Engineering
Published In Volume 5, Issue 1, January-February 2023
Published On 2023-01-03
View / Download PDF File

Share this



E-ISSN XXXX-XXXX
CrossRef

CrossRef DOI prefix of AIJARD is 10.00000/AIJARD

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About AIJARD
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +1-872-302-3851 editor@aijard.com