Advances in Smart Grid Architectures: Sensor Technologies and Intelligent Monitoring Systems

Dear Colleagues,

Introduction: Recent advances in smart grid architectures have significantly improved energy distribution and system reliability. Sensor technologies now enable real-time data collection across transmission and distribution networks. These sensors enhance fault detection, load forecasting, and demand-side management. Intelligent monitoring systems, powered by AI and machine learning, allow predictive maintenance and efficient grid optimization. Together, these innovations reduce energy losses and support the integration of renewable sources. As a result, modern smart grids are becoming more resilient, adaptive, and sustainable.

Scope: Sensor technology serves as the foundational layer of smart grid architectures by enabling real-time monitoring of electrical parameters across the grid. These systems rely on accurate, high-frequency sensor data to ensure adaptive, efficient, and resilient grid operations.

Topics: overview of smart grid architectures and evolution; types and roles of sensor technologies in smart grids; real-time data acquisition and communication protocols; intelligent monitoring systems and ai-driven analytics, fault detection, isolation, and self-healing capabilities; cybersecurity challenges in sensor-integrated smart grids; integration of renewable energy through adaptive monitoring; case studies and implementation challenges.

Prof. Dr. El Hadj Miliani
Prof. Dr. Arash Farnoosh
Guest Editors

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