Ensemble Energy, a provider of predictive analytics to the renewable energy industry, announced the closure of a seed stage investment round to support its continued growth and the expansion of the features and capabilities of its Energy.ML predictive analytics platform. The Energy.ML platform helps operators increase energy production, predict, and prevent failures, increase operational efficiency,…
Improving wind-turbine O&M with artificial intelligence
Applying artificial intelligence (AI) to wind-turbine data is becoming more prevalent and there is a growing number of use cases for the technology. Many of these cases involve wind-turbine O&M practices and can result in increased efficiency, better spare-parts forecasting, reduced downtime, and lower unplanned maintenance costs. “The best definition of artificial intelligence is that…
Sempra selects Ensemble Energy’s predictive analytics platform to increase wind production & lower costs
Ensemble Energy announced that they have been selected by Sempra Renewables to extend a pilot project using Ensemble Energy’s predictive analytics platform to reduce cost and increase energy production in Sempra’s wind-turbine fleet. Sempra began working on a pilot with Ensemble Energy in 2017. The pilot focused on two specific component reliability issues that were…
Ensemble Energy earns “Shark Tank” win at AWEA’s O&M and Safety Conference
Last week, the American Wind Energy Association (AWEA) hosted a “Shark Tank” styled session at its annual O&M and Safety Conference in San Diego, CA. AWEA solicited presentations from advanced data analytics companies in advance of the event, and selected five companies to present the benefits of their respective technologies to the wind industry. After…