The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

This paper proposes a Random Forest grid fault prediction model based on Genetic Algorithm optimization (GA-RF) to classify the grid fault types, which improves the distribution network fault ...

Load forecasting, a crucial aspect of energy management, involves predicting the future electricity demand based on historical data. In the context of monthly time series analysis, this study focuses ...

Overall, the study demonstrates the effectiveness of machine learning methods, specifically Random Forest Regression, in predicting energy loads. The practical utility of these algorithms in ...

What is the Random Forest Algorithm? Random Forest is a sophisticated machine learning method that employs multiple decision trees to make predictions. By utilizing a random subset of features for ...

Objectives We used machine learning algorithms to track how the ranks of importance and the survival outcome of four socioeconomic determinants (place of residence, mother’s level of education, wealth ...