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

By A Mystery Man Writer

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

Effects of land-based wind turbine upsizing on community sound levels and power and energy density - ScienceDirect

Effects of land-based wind turbine upsizing on community sound levels and power and energy density - ScienceDirect

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PDF) Should future wind speed changes be taken into account in wind farm development?

Complex terrain experiments in the New European Wind Atlas Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

Wind-Turbine and Wind-Farm Flows: A Review

Energies, Free Full-Text

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

Interpretable Machine Learning Approaches for Forecasting and Predicting Air Pollution: A Systematic Review - Aerosol and Air Quality Research

A transfer method to estimate hub-height wind speed from 10 meters wind speed based on machine learning - ScienceDirect

Technologies for Decarbonising the Electricity Sector - Transitioning to a Prosperous, Resilient and Carbon-Free Economy

REsurety Archives - REsurety

Sensitivity of Wind Turbine Array Downstream Effects to the Parameterization Used in WRF in: Journal of Applied Meteorology and Climatology Volume 59 Issue 3 (2020)