Availability of large amounts of data makes it possible to extract additional value from your wind turbines by using advanced data analytics, such as artificial intelligence and machine learning for production forecasting, predictive maintenance, performance optimization...

The much-needed and accelerated transition to renewable energy sources brings various challenges with it. One of these challenges is integrating these “variable” energy sources into the electricity grid without causing an upset in the system...

Accurate forecasting, better asset performance analysis and KPI tracking are possible through the exploitation of data. But how can you do it without time-consuming manual work?

Kavaken has been engaged with an IPP with a large fleet of wind turbines to optimize wind farm operation and maintenance activities. Find out how Kavaken’s algorithms automatically detected a bearing fault in the high-speed shaft of a wind turbine gearbox...

Our Co-Founder and CEO, Bora Tokyay, attended 15 minutes with TUREB (Turkish Wind Energy Association) to talk about the solutions and latest report of Kavaken...