This paper presents four modeling techniques for predicting household transportation energy consumption by exploring decision trees. random forest. and neural networks in addition to elastic net regularization analyses. The main objective of this study is to evaluate how effectively these advanced statistical models can be applicable to a Transportation Module (TM) operating within th... https://www.sukrensi.com/