Automated diagnostics for Solar enabling 'power by the hour'

Stage: Round 4

This early-stage feasibility project aims to explore and assess the application of IoT-inspired machine learning technologies for automatic diagnostics, enhancing the efficiency and productivity of solar sites. The project will also examine the potential for a new business model enabled by this high level of automation.