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Automated diagnostics for Solar enabling 'power by the hour'

Lead Participant: SENSEYE LIMITED

Abstract

This early stage feasibility project is to research and evaluate the application of IoT-inspired machine learning

technologies to perform automatic diagnostics, improving the efficiency and productivity of solar sites. In

addition, a new business model potential enabled by this high level of automatic will be investigated.

Lead Participant

Project Cost

Grant Offer
SENSEYE LIMITED £79,924 £ 55,947

Publications

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