Abstract: An accurate state of health (SoH) is important for the optimal performance and safety of Li-ion battery (LIB) storage systems. In this study, an estimation method for SoH based on random ...
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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