Mathematical Models for Predicting Electric Vehicle (EV) Charging Demand in Urban Areas
DOI:
https://doi.org/10.62951/ijeemcs.v1i2.75Keywords:
Electric vehicles, charging demand, mathematical modeling, urban planning, infrastructure, energy consumptionAbstract
As electric vehicles (EVs) gain popularity, understanding the demand for EV charging infrastructure becomes essential for effective urban planning. This paper develops mathematical models to predict EV charging demand based on various factors, including population density, traffic patterns, and energy consumption data. The models provide valuable insights for city planners regarding the optimal placement and capacity of EV charging stations to meet future demand, facilitating the transition to a more sustainable urban environment.
References
Bockarjova, M., & Steg, L. (2014). Exploring the Role of Charging Infrastructure in Electric Vehicle Adoption: A Meta-Analysis. Environmental Science & Policy.
Gunter, U., et al. (2018). The Impact of Urban Design on Electric Vehicle Charging Infrastructure Demand. Urban Studies.
He, K., et al. (2018). Predictive Modeling of Electric Vehicle Charging Demand in Urban Areas: Insights from Big Data. Transportation Research Part C: Emerging Technologies.
Jabeen, F., et al. (2020). Modeling Electric Vehicle Charging Demand Using Machine Learning: A Case Study. Energies.
Kempton, W., & Tomić, J. (2017). Vehicle-to-Grid Power Fundamentals: Calculating Capacity and Net Revenue. Journal of Power Sources.
Kwan, J., & Bhamra, T. (2019). Understanding Electric Vehicle Charging Patterns: A Longitudinal Study. Energy.
Lin, Z., & Zhang, W. (2019). A Spatial-Temporal Analysis of Electric Vehicle Charging Demand in Urban Areas. Journal of Cleaner Production.
Liu, C., et al. (2021). Analyzing the Relationship Between Energy Consumption and Electric Vehicle Charging Demand. Applied Energy.
Sadeghi, A., et al. (2019). Mathematical Models for Predicting Electric Vehicle Charging Demand: A Systematic Review. Renewable and Sustainable Energy Reviews.
Shafique, M., et al. (2021). Urban Infrastructure Development for Electric Vehicles: A Review. Journal of Urban Technology.
Sullivan, J., et al. (2018). Predicting Electric Vehicle Charging Demand: A Review of the Literature. Energy Policy.
Wang, Y., et al. (2021). Optimal Deployment of Electric Vehicle Charging Stations: A Review of the Literature. Energy Reports.
Yang, H., et al. (2020). Estimating the Charging Demand of Electric Vehicles Using Machine Learning: An Empirical Study. IEEE Transactions on Intelligent Transportation Systems.
Zhang, X., et al. (2020). Traffic Flow Patterns and EV Charging Demand: A Case Study. Transportation Research Part D: Transport and Environment.
Zhao, X., & Yang, X. (2021). Factors Influencing Electric Vehicle Charging Demand in Urban Areas. Sustainable Cities and Society.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 International Journal of Electrical Engineering, Mathematics and Computer Science

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.