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AI Driven Diagnostics and Predictive Maintenance of solar farms using Solaris AI Platform (2025-2027)

Abstract

This project aims to advance SolarisAI, an AI-based solar farm O&M platform, from TRL 5 to TRL 7 by deploying it across commercial solar farms to demonstrate its ability to enhance reliability and performance through underperformance detection and predictive maintenance, reducing global solar farm losses, which exceed $28 billion annually.

Experts

Associate Professor Rahul Sharma

Associate Professor
School of Electrical Engineering and Computer Science
Faculty of Engineering, Architecture and Information Technology
Rahul Sharma
Rahul Sharma

Professor Tapan Saha

Affiliate of Dow Centre for Sustainable Engineering Innovation
Dow Centre for Sustainable Engineering Innovation
Faculty of Engineering, Architecture and Information Technology
Professor
School of Electrical Engineering and Computer Science
Faculty of Engineering, Architecture and Information Technology
Tapan Saha
Tapan Saha