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Beyond a Constant Wind Shear Exponent: Diurnal Stability and Machine Learning for 50-m Wind Speed Extrapolation
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Vertical extrapolation of wind speed using artificial neural network hybrid system
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On the extension of the wind profile over homogeneous terrain beyond the surface boundary layer
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Development of a statistical bivariate wind speed-wind shear model (WSWS) to quantify the height-dependent wind resource
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Towards global validation of wind power simulations: A multi-country assessment of wind power simulation from MERRA-2 and ERA-5 reanalyses bias-corrected with the global wind atlas
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Analysis and validation of the methodology used in the extrapolation of wind speed data at different heights
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Analysing the uncertainties of reanalysis data used for wind resource assessment: A critical review
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Bias Correction of Wind Speed Forecasts Using an Explainable Machine Learning Method
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Innovative GIS and Remote Sensing Approaches for Revealing Hidden Wind Energy Hotspots and Optimizing Wind Farm Siting
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A new artificial neural network–power law model for vertical wind speed extrapolation for improving wind resource assessment
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Vertical wind speed extrapolation: Modelling using a response surface methodology (RSM) based on unconventional designs
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A Neural Network Solution for Extrapolation of Wind Speeds at Heights Ranging for Improving the Estimation of Wind Producible
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An Investigation of Wind-Shear Models and Experimental Data Trends for Different Terrains
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nasapower: A NASA POWER Global Meteorology, Surface Solar Energy and Climatology Data Client for R
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Reliability of ERA5 Reanalysis Data for Wind Resource Assessment: A Comparison against Tall Towers
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Machine Learning Algorithms for Vertical Wind Speed Data Extrapolation: Comparison and Performance Using Mesoscale and Measured Site Data
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The Impacts of Atmospheric Stability on the Accuracy of Wind Speed Extrapolation Methods
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Estimating hub-height wind speed based on a machine learning algorithm: implications for wind energy assessment
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Extreme wind shear events in US offshore wind energy areas and the role of induced stratification
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New methods to improve the vertical extrapolation of near-surface offshore wind speeds
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Machine-learning-based estimate of the wind speed over complex terrain using the long short-term memory (LSTM) recurrent neural network
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Vertical wind speed extrapolation using regularized extreme learning machine
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