… vehicles and draws comparisons to nonheavy-duty vehicles. A neural network model is
developed for classification, and the Shapley additive … of fuel and electric vehicles would be an …

… to improve the security of Electric Vehicle (EV) charging processes … , specifically employing
Shapley Additive exPlanations (SHAP) … 4 presents a comparative plot of SHapley Additive …

In this work we will address the short-term electricity consumption forecasting problem related
to the electric vehicle load demand. In particular we will focus on the explainability of the …

… And the capacity model of Gaussian process regression (GPR) is trained and analyzed by
Shapley additive explanation (SHAP). Meanwhile, the state space for capacity prediction is …

… , such as portable electronic devices, electric vehicles (EVs), hybrid electric vehicles (HEVs), …
-agnostic Explanations) and SHAP (SHapley Additive exPlanations), give significance to …

… In the second stage, a Shapley additive explanation approach … Electric vehicles are attracting
increasing interest around the … Either in electric vehicles or energy storage systems, lithium-…

… one of the pioneers in promoting electric vehicles worldwide. The taxi electrification process
… forest regression can be interpreted by the SHapley Additive exPlanations (SHAP) method (…

… Central to our methodology was the SHapley Additive exPlanation (SHAP) approach,
enabling efficient and precise calculation of local interpretability and global behavior …

… In addition, we use the SHAP (SHapley Additive exPlanations) model [15] to analyze the
importance of features (C.2), which can provide guidance for improving charging station …

… Future studies should use advanced interpretation techniques, such as SHapley Additive
exPLanations (SHAP) values, to enhance the clarity and depth of model interpretations. In …