ACP - Estimating hub-height wind speed based on a machine learning

ACP - Estimating hub-height wind speed based on a machine learning algorithm: implications for wind energy assessment

Wind power potential and intermittency issues in the context of climate change - ScienceDirect

Height of Summer/ＣＤ/ARCJ-10

Satellite Remote Sensing of Surface Winds, Waves, and Currents: Where are we Now?

Chapter 6: Energy systems

Reviewing accuracy & reproducibility of large-scale wind resource assessments - ScienceDirect

How HOMER Calculates Wind Turbine Power Output

Wind-Turbine and Wind-Farm Flows: A Review

Full article: Wind Speed Predictability Accuracy with Height Using LiDAR Based Measurements and Artificial Neural Networks

Roles of Atmospheric Turbulence and Stratification in a Regional Pollution Transport Event in the Middle Reaches of the Yangtze River - Zhou - 2022 - Earth and Space Science - Wiley Online Library

PDF) Estimating hub-height wind speed based on a machine learning algorithm: implications for wind energy assessment

Parametric and Structural Sensitivities of Turbine‐Height Wind Speeds in the Boundary Layer Parameterizations in the Weather Research and Forecasting Model - Yang - 2019 - Journal of Geophysical Research: Atmospheres - Wiley Online Library

Chapter 6: Energy systems