The science of mapping physical generation assets to a digital platform is becoming as successful as the technology has been in the oil & gas business. There remain challenges to deriving the most value out of these systems. How can producers predict maintenance and suboptimal performance to minimize downtime and actual equipment failures? In the renewable space where intermittent generation is the norm, can digital twins help operators predict when the assets will be at peak performance to maximize revenue? How can digital twins help forecast the power generated from wind and solar to achieve more stable and predictable results? How do owners keep the digital twins updated and an accurate representation of the physical?