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[4] EGDGA | Optimizing Optical Wireless Communication Sender Alignment Using Extended Gene Density Genetic Algorithm for Minimizing SNR Fluctuation

[6] Data-Driven_Insights_Into_EV_Charging_Patterns_Machine_Learning_Models_Reveal_Key_Predictors_of_Station_Utilization_in_Tennessee

[7] MultiObjective | Multi-Objective_Planning_Optimization_of_Electric_Vehicle_Charging_Stations_With_Coordinated_Spatiotemporal_Charging_Demand

[9] Optimal_urban_EV_charging_station_site_selection_and_capacity_determination_considering_comprehensive_benefits_of_vehicle-station-grid

[10] Multi-stage adaptive expansion of EV charging stations considering impacts from the transportation network and power grid

[11] Investigating capacity, locations, and government initiatives for Penang electric vehicle charging infrastructure

[12] Open Charge Alliance, %22What is new in OCPP 2.0.1,%22 Technical Report, 2024

[17] Charged up with peace in mind- Unraveling the factors of range anxiety among norwegian electric vehicle drivers

[18] Republik Indonesia, %22Peraturan Presiden Nomor 55 Tahun 2019 tentang Percepatan Program Kendaraan Bermotor Listrik Berbasis Baterai,%22 2019

[19] Republik Indonesia, Peraturan Presiden Nomor 79 Tahun 2023 tentang Perubahan atas Peraturan Presiden Nomor 55 Tahun 2019,%22 2023

[20] internet of things based real-time electric vehicle load forecasting and charging station recommendation

[21] Graph attention networks Proc. Int. Conf. Learning Representations (ICLR), 2018

[22] Diversity assessment in many-objective optimization,%22 IEEE Trans. Cybern., vol. 47, no. 6, pp. 1510--1522, 2017

[23] Spatio-temporal graph convolutional networks- A deep learning framework for traffic forecasting

[24] Spatio-temporal graph convolutional networks- A deep learning framework for traffic forecasting

[26] Graph neural networks- A review of methods and applicationsGraph neural networks- A review of methods and applications

[29] Comparative assessment and selection of electric vehicle diffusion models- A global outlook

[30] Cross-country diffusion of photovoltaic systems- Modelling choices and forecasts for national adoption patterns

[31] A forecasting model based on ARIMA and artificial neural networks for end–OF–life vehicles

[32] Charging Station Placement Optimization Using Queueing Model with Time-varying Arrival Rate

[33] Planning of electric vehicle charging stations- An integrated deep learning and queueing theory approach

[34] A stochastic programming approach for electric vehicle charging station expansion plans

[35] Rolling Horizon Approach for Real-Time Charging and Routing of Autonomous Electric Vehicles

[36] National Renewable Energy Laboratory, Regional charging infrastructure for plug-in electric vehicles- A case study of Massachusetts