Leveraging explainable artificial intelligence in understanding public transportation usage rates for sustainable development

G Sariyer, SK Mangla, ME Sozen, G Li, Y Kazancoglu - Omega, 2024 - Elsevier
… We aim to explain the predictions both with the most widely used technique of XAI, Shapley
additive explanation (SHAP) and in the light of the rules presented. To predict the total public …

Energy Modeling for Electric Vehicles Based on Real Driving Cycles: An Artificial Intelligence Approach for Microscale Analyses

M Mądziel - Energies, 2024 - mdpi.com
… This paper presents the process of creating a model for electric vehicle (EV) energy
consumption, enabling the rapid generation of results and the creation of energy maps. The most …

Revealing spatiotemporal characteristics of EV car-sharing systems: A case study in Shanghai, China

B Hu, J Tang, D Tong, H Zhao - Travel Behaviour and Society, 2024 - Elsevier
… Forest (RF) and Shapley additive explanation (SHAP). This model explored the relationship
between the attractiveness of shared electric vehicle stations and the functional attributes of …

Research on the influence factors of accident severity of new energy vehicles based on ensemble learning

Z Zhang, Z Niu, Y Li, X Ma, S Sun - Frontiers in Energy Research, 2023 - frontiersin.org
… impaired individuals detect electric vehicles earlier. … Shapley Additive Explanation) is a
game theory method based on the classical Shapley value and its related extensions (Shapley

Electric vehicles as a sustainable energy Technology: Observations from travel survey data and evaluation of adoption with Machine learning method

Z Dai, B Zhang - Sustainable Energy Technologies and Assessments, 2023 - Elsevier
… We further introduced the SHAP (SHapley Additive exPlanations) for feature importance
analysis, where the contribution of each feature is calculated for every prediction based on the …

Analizing the Variable Importance from Multinomial Logit Model Using Shapley Values-Based Methods: A Travel Mode Choiceapplication

P Salas, R De la Fuente, S Astroza… - Available at SSRN … - papers.ssrn.com
… we use the Shapley decomposition and the SHapley AdditiveShapley decomposition
emerges as a robust and consistent … results in the electric vehicle charging time domain by …

Layer-by-layer Visual Analysis and Optimization of Arc Fault Detection Models for Electric Vehicle Charging Devices

S Liu, S Gao, J Liu, Y Wang, Y Zhao… - 2023 8th Asia …, 2023 - ieeexplore.ieee.org
… of electricity safety is increasing. There is an urgent need to carry out research on electric
vehicle … identification was also investigated using the Shapley Additive Explanation (SHAP) to …

An interpretable forecasting framework for energy consumption and CO2 emissions

S Aras, MH Van - Applied Energy, 2022 - Elsevier
… For this purpose, the study proposes an interpretable forecasting framework based on
values of the Shapley additive explanation (SHAP) to provide a simpler explanation of machine …

Flow-based unit is better: exploring factors affecting mid-term OD demand of station-based one-way electric carsharing

J Cheng, X Chen, J Ye, X Shan - Transportation Research Part D: Transport …, 2021 - Elsevier
… existing electric vehicles, electric carsharing requires the setting up of charging stations
in order to support the operation of electric vehicles… , and a Shapley additive explanation (SHAP) …

Artificial Intelligence for Electric Vehicle Infrastructure: Demand Profiling, Data Augmentation, Demand Forecasting, Demand Explainability and Charge Optimisation

V Sumanasena, L Gunasekara, S Kahawala, N Mills… - Energies, 2023 - mdpi.com
… In response to this challenge, advanced economies across the world are increasingly
adopting plug-in hybrid electric vehicles (PHEV) and electric vehicles (EVs) in both public and …