ServusNet Forecasts Wind Power Using Cortana Analytics Suite

This post is authored by Jaya Mathew & Hong Lu, Data Scientists at Microsoft, in collaboration with the team at ServusNet. Governments worldwide are actively promoting the use of renewable energy because of the growing concern over climate change and carbon emissions. Among the available renewable energy sources, harnessing energy through wind turbines offers a compelling alternative. There are a growing number of wind farms throughout the world now, and, as the industry matures at a rapid pace, it is increasing its focus on operational efficiency and cost-competitiveness. Given the inherent variability in wind energy production, the ability to analyze the data generated by wind turbines to characterize historical behavior and create a framework to predict future performance can be a critical asset and business differentiator.