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: This paper presents a data-driven Random Forest (RF) framework for the joint relay–link selection and buffer management problem in buffer-aided cooperative relay networks, with the goal of ...
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