How predictive analytics take the guesswork out of data
January 18, 2019 / Barbara Rook
Increasingly, predictive analytic software takes much of the work and worry out of deciphering the massive amounts of data generated by wind turbines. The goal is to link real-time data to proactive decision-making without drowning in “an unmanageable ocean of data,” according to independent market research firm, New Energy Update. Ultimately, wind operators are trying to reduce their reliance on OEMs for operations analytics and take control of their data. “Predictive analytics helps owners establish a single source of independent truth across the organization,” explains Ryan Blitstein, VP of Renewable Energy at Uptake, an artificial intelligence (AI) and internet of things (IoT) software provider. Data delivered directly into the wind flow can predict a problem, sending alerts that allow proactive investigation and repairs. This “fix it before it breaks” strategy is preventing more extensive repairs down the road, thereby saving money and downtime.