[HTML][HTML] A Comprehensive Review of Wind Power Prediction Based on Machine Learning: Models, Applications, and Challenges

Z Liu, H Guo, Y Zhang, Z Zuo - Energies, 2025 - mdpi.com
Wind power prediction is essential for ensuring the stability and efficient operation of modern
power systems, particularly as renewable energy integration continues to expand. This …

Machine learning approaches in predicting the wind power output and turbine rotational speed in a wind farm

A Ilhan, S Tumse, M Bilgili, B Sahin - Energy Sources, Part A …, 2024 - Taylor & Francis
Accurate wind energy forecasting has become increasingly important to effectively manage
the energy produced by wind turbine power plants and optimize their operational …

[HTML][HTML] Testing the Wind Energy Data Based on Environmental Factors Predicted by Machine Learning with Analysis of Variance

Y Ayaz Atalan, A Atalan - Applied Sciences, 2024 - mdpi.com
This study proposes a two-stage methodology for predicting wind energy production using
time, environmental, technical, and locational variables. In the first stage, machine learning …

A multifaceted journey in coastal meteorological projections through multioutput regression: a two-layer stacking ensemble approach

T Mollick, G Hashmi, SR Sabuj - Theoretical and Applied Climatology, 2024 - Springer
Coastal regions have experienced economic losses from natural disasters due to rising
global temperatures and climate change. Accurate and timely weather information may …

Optimizing Wind Speed Predictions in Bangladesh: Unveiling the Power of Machine Learning Approaches

M Khatun, GS Sattar, PK Karmokar… - International Journal of …, 2024 - banglajol.info
Wind speed is a naturally occurring phenomenon that arises from the intricate interplay of
various atmospheric processes. Wind speed prediction is pivotal in various sectors …