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Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
Published on: December 15, 2023
450
Environment sustainability with smart grid sensor
Sheetal Mahadik1, Madhuri Gedam2, Deven Shah2
1Department of Electronics and Telecommunication, Shree L.R. Tiwari College of Engineering, Thane, India.
Frontiers in Artificial Intelligence
|March 6, 2025
Summary
Smart grid sensors enhance environmental sustainability by enabling real-time monitoring, reducing energy losses, and integrating renewable energy. Artificial intelligence further optimizes grid performance and resource management for a greener future.
Area of Science:
- Environmental Science
- Electrical Engineering
- Computer Science
Background:
- Environmental sustainability is a global priority, with energy efficiency crucial for its achievement.
- Smart grid technology offers solutions for energy efficiency, renewable integration, and consumer engagement.
- Intelligent sensors significantly enhance smart grid capabilities for sustainability.
Purpose of the Study:
- To highlight the role of smart grid sensors in addressing energy losses, demand-response, and renewable integration.
- To examine how AI and smart sensors improve real-time monitoring, energy distribution, and decision support.
- To showcase practical applications and outcomes of sensor technologies in India.
Main Methods:
- Literature analysis of smart grid sensors and AI integration.
- Examination of pilot projects in India (e.g., BESCOM, Tata Power-DDL).
- Review of sensor-enabled systems and their impact on energy savings and emissions.
Main Results:
- Smart sensors enable real-time monitoring, fault detection, and optimal load management, reducing environmental impact.
- AI integration with sensors enhances predictive maintenance, energy management, and cybersecurity.
- Sensor technology adoption shows significant potential for energy savings (up to 29%) and reduced emissions (up to 20%).
Conclusions:
- Smart sensors are critical for overcoming conventional grid limitations, ensuring a resilient, efficient, and sustainable energy future.
- The integration of AI and IoT with smart grid sensors offers advanced environmental oversight and resource management.
- Pilot projects demonstrate the practical viability and benefits of smart sensor deployment in real-world scenarios.
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