… We employed the Shapley additive explanation (SHAP) method to quantify the importance
… nickel for lithium-ion batteries in electric vehicles will exceed the current production capacity …

… We apply the SHAP (Shapley Additive Explanations) to interpret how a specific variable
influences model classification results. Both the XGBoost and the Apriori algorithm effectively …

… The key quantity computed by the TreeExplainer is Shapley Additive … to accelerating adoption
of emerging vehicles; it is therefore … of new vehicle technologies such as electric vehicles. …

Parallel string performance imbalances are unavoidable due to manufacturing-related cell-to-cell
inhomogeneities (eg capacity, internal resistance), suboptimal pack and cooling …

… with an improved sample-balanced deep shapley additive explanation (SE-DSHAP) method
… An electric vehicle integration system supported by AI based on blockchain was proposed …

… The approach is based on large-scale natural driving data continuously collected from
production line vehicles and employs the SHapley Additive exPlanation (SHAP) method to …

… Abu Al-Haija, “Explaining intrusion detection-based convolutional neural networks using
shapley additive explanations (SHAP),” Big Data and Cognitive Computing, vol. 6, no. 4, pp. …

… Third, a shapley additive explanations method is carried out utilizing the explainable nature
… electric energy systems [3]. The Ecogrid-EU project in Denmark introduced electric vehicles …

… To explain the XGBoost model’s output, this paper adopts the Shapley additive explanations
(SHAP) interaction values originating from the Shapley interaction index in game theory …

… operation method for a system containing electric vehicle charging stations (EVCSs) and
a distribution power network (DPN), considering integrated energy and reserve regulation. In …