ServusNet currently has an on-premises solution which uses daily weather forecasts to generate the final wind power forecasts at a farm level. ServusNet would now like to deploy an end to end operationalized cloud-based solution so that they can scale out their product offering, catering to multiple wind farm portfolios and customers globally.

With Microsot’s advanced ML algorithm embedded in Azure ML, ServusNet is now able to provide a world-class, reliable and scalable cloud-based solution that predicts the power generated by wind farms

Source: ServusNet Forecasts Wind Power Using Cortana Analytics Suite – Machine Learning – Site Home – TechNet Blogs