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 ...
Abstract: As the size of datasets and neural network models increases, automatic parallelization methods for models have become a research hotspot in recent years. The existing auto-parallel methods ...
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