This document has not been cited yet.

1. Amini, M.H.; Moghaddam, M.P. Probabilistic modelling of EVs’ parking lots charging demand. In Proceedings of the 2013 21st Iranian Conference on Electrical Engineering (ICEE), Mashhad, Iran, 14–16 May 2013; pp. 1–4.
   Paper not yet in RePEc: Add citation now
   
2. Ashtari, A.; Bibeau, E.; Shahidinejad, S.; Molinski, T. PEV charging profile prediction and analysis based on vehicle usage data. IEEE Trans. Smart Grid. 2012, 3, 341–350. [CrossRef]
   Paper not yet in RePEc: Add citation now
   
3. Chen, R.; Qian, X.; Miao, L.; Ukkusuri, S.V. Optimal charging facility location and capacity for electric vehicles considering route choice and charging time equilibrium. Comput. Oper. Res. 2020, 113, 104776. [CrossRef]
   Paper not yet in RePEc: Add citation now
   
4. Chu, W.; Im, M.; Song, M.; Park, J. Psychological and behavioral factors affecting EV adoption and satisfaction: A comparative study of early adopters in China and Korea. Transp. Res. Part D Transp. Environ. 2019, 76, 1–18. [CrossRef]
   Paper not yet in RePEc: Add citation now
   
5. Dong, G.; Ma, J.; Wei, R.; Haycox, J.R. EV charging point placement optimization by exploiting spatial statistics and maximal coverage location models. Transp. Res. Part D Transp. Environ. 2019, 67, 77–88. [CrossRef]
   Paper not yet in RePEc: Add citation now
   
6. Ge, X.; Shi, L.; Fu, Y.; Muyeen, S.M.; Zhang, Z.; He, H. Data-driven spatial-temporal prediction of electric vehicle load profile considering charging behavior. Electr. Power Syst. Res. 2020, 187, 106469. [CrossRef]
   Paper not yet in RePEc: Add citation now
   
7. Gopalakrishnan, R.; Biswas, A.; Lightwala, A.; Vasudevan, S.; Dutta, P.; Tripathi, A. Demand prediction and placement optimization for EV charging stations. arXiv 2016, arXiv:1604.05472.
   Paper not yet in RePEc: Add citation now
   
8. Haji-Aghajani, E.; Hasanzadeh, S.; Heydarian-Forushani, E. A novel framework for planning of EV parking lots in distribution networks with high PV penetration. Electr. Pow. Syst. Res. 2023, 217, 109156. [CrossRef]
   Paper not yet in RePEc: Add citation now
   
9. Ip, A.; Fong, S.; Liu, E. Optimization for allocating BEV recharging stations in urban areas by using hierarchical clustering. In Proceedings of the 2010 6th International Conference on Advanced Information Management and Service (IMS 2010), Seoul, Republic of Korea, 30 November–2 December 2010; pp. 460–465.
   Paper not yet in RePEc: Add citation now
   
10. Javad Mirzaei, M.; Siano, P. Dynamic long-term expansion planning of EV parking lots considering lost opportunity cost and energy saving. Int. J. Electr. Power Energy Syst. 2022, 140, 108066. [CrossRef]
    Paper not yet in RePEc: Add citation now
    
11. Ji, W.; Tal, G. Scenarios for transitioning cars from ICEV to BEVs and PHEVs using household level GPS travel data. Transp. Res. Part D Transp. Environ. 2020, 88, 102555. [CrossRef]
    Paper not yet in RePEc: Add citation now
    
12. Jiang, Q.; Zhang, N.; Yueshuai He, B.; Lee, C.; Ma, J. Large-scale public charging demand prediction with a scenario- and activity-based approach. Transp. Res. Part A Policy Pract. 2024, 179, 103935. [CrossRef]
    Paper not yet in RePEc: Add citation now
    

13. Kuang, H.; Qu, H.; Deng, K.; Li, J. A physics-informed graph learning approach for citywide electric vehicle charging demand prediction and pricing. Appl. Energy 2024, 363, 123059. [CrossRef]

14. Luo, X.; Kuby, M.J.; Honma, Y.; Kchaou-Boujelben, M.; Zhou, X. Innovation diffusion in EV charging location decisions: Integrating demand & supply through market dynamics. Transp. Res. Part C Emerg. Technol. 2024, 165, 104733.
    Paper not yet in RePEc: Add citation now
    
15. Shang, W.; Zhang, J.; Wang, K.; Yang, H.; Ochieng, W. Can financial subsidy increase electric vehicle (EV) penetration—Evidence from a quasi-natural experiment. Renew. Sustain. Energy Rev. 2024, 190, 114021. [CrossRef]
    Paper not yet in RePEc: Add citation now
    
16. Shuai, C.; Zhang, X.; Xin, O.; Liu, K.; Yang, Y. Research on charging demands of commercial electric vehicles based on Voronoi diagram and spatial econometrics model: An empirical study in Chongqing China. Sustain. Cities Soc. 2024, 105, 105335. [CrossRef]
    Paper not yet in RePEc: Add citation now
    
17. Tian, Z.; Jung, T.; Wang, Y.; Zhang, F.; Tu, L.; Xu, C.; Tian, C.; Li, X. Real-time charging station recommendation system for EV taxis. IEEE Trans. Intell. Transp. Syst. 2016, 17, 3098–3109. [CrossRef]
    Paper not yet in RePEc: Add citation now
    
18. Wang, C.; He, F.; Lin, X.; Shen, Z.M.; Li, M. Designing locations and capacities for charging stations to support intercity travel of EVs: An expanded network approach. Transp. Res. Part C Emerg. Technol. 2019, 102, 210–232. [CrossRef]
    Paper not yet in RePEc: Add citation now
    
19. Wang, Z.; Zhang, J.; Liu, P.; Zhang, Z. Overview of Planning of Electric Vehicle Charging Stations. China J. Highw. Transp. 2022, 35, 230–252.
    Paper not yet in RePEc: Add citation now
    
20. Xi, X.; Sioshansi, R.; Marano, V. Simulation–optimization model for location of a public EV charging infrastructure. Transp. Res. Part D Transp. Environ. 2013, 22, 60–69. [CrossRef]
    Paper not yet in RePEc: Add citation now
    
21. Xiao, L.; Zhang, J.; Wang, C.; Han, R. Optimal fleet replacement management under cap-and-trade system with government subsidy uncertainty. Multimodal Transp. 2023, 2, 100077. [CrossRef]
    Paper not yet in RePEc: Add citation now
    
22. Yang, J.; Dong, J.; Zhang, Q.; Liu, Z.; Wang, W. An investigation of battery EV driving and charging behaviors using vehicle usage data collected in Shanghai, China. Transp. Res. Rec. J. Transp. Res. Board 2018, 2672, 20–30. [CrossRef]
    Paper not yet in RePEc: Add citation now
    

23. Yin, L.; Zhang, Y. Particle swarm optimization based on data driven for EV charging station siting. Energy 2024, 310, 133197. [CrossRef] Mathematics 2024, 12, 3143 21 of 21

24. Zeng, X.; Xie, C. A comparative analysis of modeling and solution methods for the en-route charging station location problems within uncongested and congested highway networks. Multimodal Transp. 2024, 3, 100150. [CrossRef]
    Paper not yet in RePEc: Add citation now
    

25. Zhang, X.; Zhang, Z.; Liu, Y.; Xu, Z.; Qu, X. A review of machine learning approaches for electric vehicle energy consumption modelling in urban transportation. Renew. Energy 2024, 234, 121243. [CrossRef]

26. Zhao, D.; Liu, Y.; Chen, H. Are Mini and full-size electric vehicle adopters satisfied? An application of the regression with dummy variables. Travel. Behav. Soc. 2024, 35, 100744. [CrossRef]
    Paper not yet in RePEc: Add citation now
    

1. How Is Transportation Sector Low-Carbon (TSLC) Research Developing After the Paris Agreement (PA)? A Decade Review. (2025). Han, Jinsong ; Zhao, Xuanwei.
   In: Sustainability.
   RePEc:gam:jsusta:v:17:y:2025:i:5:p:2261-:d:1606255.

   Full description at Econpapers || Download paper

2. Chattering-Free PID-Nested Nonsingular Terminal Sliding Mode Controller Design for Electrical Servo Drives. (2025). Trieu, Nguyen Minh ; No, Nguyen Tan ; Vu, Truong Nguyen ; Thinh, Nguyen Truong.
   In: Mathematics.
   RePEc:gam:jmathe:v:13:y:2025:i:7:p:1197-:d:1628506.

   Full description at Econpapers || Download paper

3. Analytical Diagnostic and Control System of Energy and Mechanical Efficiency of Electric Drives. (2025). Korolev, Nikolay.
   In: Energies.
   RePEc:gam:jeners:v:18:y:2025:i:9:p:2266-:d:1645644.

   Full description at Econpapers || Download paper

4. Impact of Weather Conditions on Energy Consumption Modeling for Electric Vehicles. (2025). Mdziel, Maksymilian.
   In: Energies.
   RePEc:gam:jeners:v:18:y:2025:i:8:p:1994-:d:1633650.

   Full description at Econpapers || Download paper

5. Revolutionizing Electric Vehicle Charging Stations with Efficient Deep Q Networks Powered by Multimodal Bioinspired Analysis for Improved Performance. (2025). Mamidala, Sugunakar ; Pavan, Yellapragada Venkata ; Mallipeddi, Rammohan.
   In: Energies.
   RePEc:gam:jeners:v:18:y:2025:i:7:p:1750-:d:1625041.

   Full description at Econpapers || Download paper

6. Empirically Validated Method to Simulate Electric Minibus Taxi Efficiency Using Tracking Data. (2025). Booysen, Marthinus Johannes ; du Plessis, Armand Andr ; Lacock, Stephan ; Abraham, Chris Joseph.
   In: Energies.
   RePEc:gam:jeners:v:18:y:2025:i:2:p:446-:d:1571930.

   Full description at Econpapers || Download paper

7. Optimizing waste-to-energy conversion of banana peel biomass-based scheme using metaheuristic particle swarm optimization (PSO) algorithm. (2025). Abdullaev, Sherzod ; Alhomayani, Fahad M ; Khan, Mohammad Nadeem ; Bayhan, Zahra ; Knani, Salah ; Afzal, Abdul Rahman ; Fang, Wei ; Abed, Azher M ; Farouk, Naeim ; Khalil, Sana Ahmed.
   In: Energy.
   RePEc:eee:energy:v:327:y:2025:i:c:s0360544225020699.

   Full description at Econpapers || Download paper

8. Dynamic distributed multi-objective mantis search algorithm based on Transformer hybrid strategy for novel power system dispatch. (2025). Lu, Quan ; Zeng, Haozheng ; Yin, Linfei.
   In: Energy.
   RePEc:eee:energy:v:324:y:2025:i:c:s0360544225017177.

   Full description at Econpapers || Download paper

9. Optimization of electric vehicle charging station layout considering the improvement of distribution network resilience under extreme disasters. (2025). Li, Qifen ; Zhang, Jinli ; Mei, Haozhou ; Wu, Qiong ; Ren, Hongbo.
   In: Energy.
   RePEc:eee:energy:v:323:y:2025:i:c:s0360544225014732.

   Full description at Econpapers || Download paper

10. Citywide electric vehicle charging demand prediction approach considering urban region and dynamic influences. (2025). Li, Jun ; You, Linlin ; Deng, Kunxiang ; Kuang, Haoxuan.
    In: Energy.
    RePEc:eee:energy:v:320:y:2025:i:c:s0360544225008126.

    Full description at Econpapers || Download paper

11. A coordinated CVR-EVDC approach for electric vehicle charging demand management. (2025). McLoone, Sen ; Ahangar, Reza Gharoie ; Gharavi, Hani.
    In: Applied Energy.
    RePEc:eee:appene:v:392:y:2025:i:c:s0306261925006464.

    Full description at Econpapers || Download paper

12. An adaptive spatio-temporal graph recurrent network for short-term electric vehicle charging demand prediction. (2025). Wang, Shengyou ; Shao, Chunfu ; Li, Yuan ; Zhuge, Chengxiang.
    In: Applied Energy.
    RePEc:eee:appene:v:383:y:2025:i:c:s0306261925000509.

    Full description at Econpapers || Download paper

13. Unsupervised learning for efficiently distributing EVs charging loads and traffic flows in coupled power and transportation systems. (2025). Shao, Chengcheng ; Guo, Zishan ; Hu, Qinran ; Liang, Zeyu ; Qian, Tao ; Wu, Zaijun.
    In: Applied Energy.
    RePEc:eee:appene:v:377:y:2025:i:pb:s0306261924018592.

    Full description at Econpapers || Download paper

14. Privacy-preserving coordination of power and transportation networks using spatiotemporal GAT for predicting EV charging demands. (2025). Jin, Yuyang ; Wei, Zhinong ; Lv, SI ; Zhang, Hongcai ; Cheng, Hao.
    In: Applied Energy.
    RePEc:eee:appene:v:377:y:2025:i:pa:s0306261924017744.

    Full description at Econpapers || Download paper

15. Location and Size Planning of Charging Parking Lots Based on EV Charging Demand Prediction and Fuzzy Bi-Objective Optimization. (2024). Tan, XU ; Chen, Jianming ; Gao, Minghao ; Bao, Qiong.
    In: Mathematics.
    RePEc:gam:jmathe:v:12:y:2024:i:19:p:3143-:d:1493763.

    Full description at Econpapers || Download paper

Report date: 2025-10-01 02:10:52 || Missing content? Let us know