Abstract: As an amendment to the deep forest, deep forest regression (DFR) has been recently proposed for industrial process modeling. However, training DFR models is an arduous task in terms of ...
Comparison of Random Forest and SARIMA Methods Optimized with Genetic Algorithm for Wind Forecasting
Abstract: In this work, the Random Forest and SARIMA methods were used, both optimized through genetic algorithms, with the purpose of forecasting wind speed and, consequently, energy production. The ...
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