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The research aims to develop a method for estimating wind speed to optimize turbine performance in wind power plants.

January 23, 2026SustainabilityOpen Access

A Sustainability-Focused Real-Time Dynamic Wind Speed Estimation Method for Turbine Performance Optimization

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Real-time analysis estimates wind speed for turbine optimization, indicating improved energy efficiency.

The research aims to develop a method for estimating wind speed to optimize turbine performance in wind power plants.
Collected data on temperature, wind direction, and wind speed from three turbines at various altitudes.
Utilized decision tree regression for wind speed estimation.
Conducted analyses using 10-fold cross validation.
Calculated overall and specific RMSE values to assess model accuracy.
Performed daily, monthly, and seasonal analyses for forecasts.
Obtained RMSE values of 0.64917, 0.66629, and 0.59954 for the three altitudes.
The overall RMSE value was found to be 0.60188.
Decreased RMSE values in daily, monthly, and seasonal analyses indicated accuracy of the forecast model.
A strong inverse relationship was found between wind speed and RMSE.

Güneş et al. (2026) studied this question.

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