Renewable Energy Data Management Solutions

Power Utilities are unable to manage the complexity of distributed clean energy resources, such as solar, wind, home batteries, and electric vehicles. Edge AI can help utilities forecast energy demand, dynamically manage supply, identify real-time outage risks, and improve customer experiences. Utilities face major challenges with autonomous operations, decarbonization, and decentralization due to the shift away from legacy, single points of power generation. This infrastructure is being replaced with distributed clean energy resources, such as wind farms, solar, home batteries, and electric vehicles.

A software-defined grid is needed to manage the complexity of modern grids. Using AI at the edge and high-performance computing (HPC) in the cloud, utilities can simulate real-time power flow on the grid, identify potential outages, and dynamically manage distributed energy resources. 

Greenstar Technologies are developing industrial digital twins of real-world power generation sites. Greenstar Technologies is using a digital twin platform for scientific computing to model wind farms. These solutions are being offered from our Energy Operations Centers as SaaS.