Borusan EnBW reduced balancing costs with Tarentum’s Wind Suite product

“We have been working with multiple providers for more than 5 years. Thanks to Tarentum’s solutions we have achieved the highest accuracy in our production forecasts in all of our plants. ”

—Tuna Guven, Assistant General Manager, Operations at Borusan EnBW

“Tarentum’s WIND product enabled us to reduce balancing costs and save on operational expenses.”

— Emre Okuyan, Assistant General Manager, Business Development, Sales & Trading at Borusan EnBW

Customer Challenge

Borusan EnBW is one of the leading renewable energy providers in Turkey with an installed capacity of 505MW.

  • Given their large capacity Borusan EnBW were looking to improve their day ahead predictions to reduce balancing costs and increase operational efficiency
  • In addition to accuracy improvement Borusan EnBW are expanding their asset portfolio and need a solution that can scale with growing needs
  • On a user level, one of the biggest challenges was the lack of a user interface to monitor predictions with historical data and insights

Our Solution

Tarentum addressed Borusan EnBW’s concerns with a holistic solution powered by its proprietary machine learning platform. First, forecast accuracy was improved via leveraging more data resulting in higher financial returns. Second productivity challenges were addressed with a simple and intuitive customer interface where users can digest key metrics and make informed decisions. Tarentum’s close collaboration with Borusan EnBW yielded the best accuracy seen in the last 5 years. Improvements in accuracy were validated across 8 wind farms.


  • 5–10% Improvement in forecast accuracy
  • Tarentum predicted highest accuracy across all 8 power plants for a whole year
  • Solution is easily being scaled to Borusan EnBW’s new fields
  • Received the Best Corporate Startup Collaboration Award


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