… phenomena, by applying and comparing different feature selection techniques. For this …
solar radiation, we perform a novel approach based on multiple feature selection methods. …

… forecasting method proposed in the current study utilizes the RE driven feature selection in
order to determine the optimal feature … of each of the extracted deep features. The RE is a filter…

… In this section, the effectiveness of using an ensemble feature selection for solar radiation
forecasting is investigated. Two other cases are analyzed for comparison purposes: …

… feature selection in input data is significant to forecasting problems. There are two major
reasons for feature selection: 1) Feature selection … ways to categorize feature selection methods. …

… radiation is estimated by using RF with feature selection approach to deal with nonlinear
dynamics in time series. The features … The features that can improve forecasting performance …

… In [8], a Multilayer Perceptron combined with a genetic algorithm is used to perform solar
radiation forecast, but in this work authors use satellite images to perform radiation prediction in …

… of using an ensemble feature selection for solar radiation forecasting is investigated. Two …
The forecasting model is trained using only endogenous inputs, which is the solar radiation …

… a study on feature selection and extraction methods for solar radiation forecast from a WRF
… In this section, the three non standard feature selection methods included in this study are …

… The MAPE values of the proposed forecasting framework for … of the forecasting framework
containing feature selection, … can all have a positive influence on forecasting performance. …

… feature selection using random forests are: to find highly dependent feature variables and
to find feature variables with relatively few data and better ability to express forecasting results. …