Betül Yağmahan

Akademik Profiller

1. 1
   Determining Optimal Charging Plan for Electric Vehicles Considering Time-of-Use Pricing14th Annual International Conference on Industrial Engineering and Operations Management (IEOM2024)
   2024
2. 2
   Electric vehicle energy consumption prediction for unknown route types using deep neural networks by combining static and dynamic dataApplied Soft Computing
   2024
3. 3
   Optimization of the electric vehicle charging strategy problem for sustainable intercity travels with multiple refueling stopsSustainable Energy, Grids and Networks
   2024
4. 4
   An integrated ranking approach based on group multi-criteria decision making and sensitivity analysis to evaluate charging stations under sustainabilityEnvironment, Development and Sustainability
   2022
5. 5
   Route based Driving Range Prediction of Electric Vehicles by using Static and Dynamic Data31th European Conference on Operational Research (EURO XXXI)
   2021
6. 6
   A Deep Neural Network Model to Predict Stock PricesInternational Conference on Interdisciplinary Applications of Artificial Intelligence (ICIDAAI 2021)
   2021
7. 7
   Range coverage location model: An optimization model for the charging station location problem in a transportation network to cover intercity travelsInternational Journal of Energy Research
   2021
8. 8
   A Mathematical Model for Locating Electric Vehicle Charging Stations in Intercity Travel10th International Symposium on Intelligent Manufacturing and Service Systems (IMSS’19)
   2019
9. 9
   Lean service system design: a simulation-based VSM case studyBusiness Process Management Journal
   2019
10. 10
    A novel artificial bee colony algorithm for the workforce scheduling and balancing problem in sub-assembly lines with limited buffersApplied Soft Computing Journal
    2018

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