"Proceedings of a conference to commemorate the 50th anniversary of the Piłsudski Institute, held October 22-23, 1993 at Columbia University." and "Sponsored by the Piłsudski Institute and the Institute on East Central Europe, Columbia University."
"Proceedings of a conference to commemorate the 50th anniversary of the Piłsudski Institute, held October 22-23, 1993 at Columbia University." and "Sponsored by the Piłsudski Institute and the Institute on East Central Europe, Columbia University."
Precise wind energy potential assessment is vital for wind energy generation and planning and development of new wind power plants. This work proposes and evaluates a novel two-stage method for location-specific wind energy potential assessment. It combines accurate statistical modelling of annual wind direction distribution in a given location with supervised machine learning of efficient estimators that can approximate energy efficiency coefficients from the parameters of optimized statistical wind direction models. The statistical models are optimized using differential evolution and energy efficiency is approximated by evolutionary fuzzy rules.