Register for this Event
Machine Learning helps make complex systems more efficient. By applying advanced Machine Learning techniques such as Cognitive Fingerprinting™, wind project operators can utilize these tools to learn from collected data, detect regular patterns, and optimize their own operations. Research has demonstrated the value of Machine Learning in delivering next generation analytics to improve safety, performance, and reliability in today’s modern wind turbines.
John Hensley (Moderator), Manager, Industry Data & Analysis, AWEA
Stuart Gillen, Director, Business Development, SparkCognition
Maggie Pakula, Manager, Performance Analysis Engineering, Invenergy, LLC