Maintaining Solar plants at optimum performance level requires strong data analysis, in correlation with extra productivity gained with new technologies.
Machine Learning is gaining momentum across all industries and carries the promise to create a new source of insight towards enhanced Operation and maintenance (O&M) activities.
This presentation will show how Machine Learning and digital twins can be easily triggered to clean Maintenance Data, detect low-noise events, and ensure a first level of predictive maintenance.
QOS Energy will present case studies on real examples. It will demonstrate the advantages of a central flexible solution to deploy Data Intelligence technologies in an easy way.
QOS Energy is organizing a webinar in association with PV magazine about harnessing data intelligence in solar PV O&M. Or, how machine learning will help operators deliver extra value.
Chief Data Science Officer at QOS Energy
Chief Marketing Officer at QOS Energy
Head of Content, PV Magazine
7th of June 2018