Cost of Interconnection Prediction Algorithm (CIPA)

Project Details


Enian and the University of Edinburgh are grateful for the opportunity to work alongside the Data Lab team on a revolutionary new machine learning algorithm that predicts interconnection costs for new clean energy technologies with a target 98% accuracy. The partners anticipate that this tool will radically accelerate decision time for renewable energy professionals in Scotland and beyond across the value chain, thereby increasing the speed at which a low carbon energy transition can be delivered across the whole of Scotland, including for the Highlands & Islands.
Short titleCIPA
Effective start/end date20/06/1919/09/19


Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.