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 ...

Abstract: This Study explores ways to improve the speed of DC motors through comparison of traditional tuning methods, viz. Ziegler-Nichols and Cohen-Coon with a machine learning approach using Random ...