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

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

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

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

Estimating ground-level PM2.5 using subset regression model and machine learning algorithms in Asian megacity, Dhaka, Bangladesh. - Abstract - Europe PMC

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

Sustainability, Free Full-Text

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

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

Spatio-seasonal Concentrations, Source Apportionment and Assessment of Associated Human Health Risks of PM2.5-bound Polycyclic Aromatic Hydrocarbons in Delhi, India - Aerosol and Air Quality Research

Assessment of Three Learning Machines for Long-Term Prediction of Wind Energy in Palestine