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Resources
About
Contact Us
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Customer Story
Customer Story
Boreas improves production forecast and asset management with Kavaken
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?
Customer Story
Boosting turbine performance with the help of AI
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...
Customer Story
Borusan EnBW reduced balancing costs with Kavaken
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...
Read our blog posts
Insights
Main Shaft Bearing Fault Detection, Diagnosis and Root Causes
August 9, 2022
A read about the fault detection cases of wind turbines' main shaft bearing faults.
Ömer Faruk Eker
Senior Data Scientist
Insights
Hydropower Part II: Condition Monitoring and Predictive Maintenance
June 1, 2022
In this blog post, find out about monitoring, predictive maintenance theory, practices of the hydroelectricity generating process and critical equipment.
Ömer Faruk Eker
Senior Data Scientist
Company News
Kavaken receives funding from Bogazici Ventures and Re-Pie to accelerate growth
April 26, 2022
The $500K investment will enable the AI-powered cleantech company to deliver value to renewable energy companies internationally.
Aysu Ayık
Product Marketing Manager