📅 30 June 2024
DOI: 10.62951/ijeemcs.v1i2.75
Mathematical Models for Predicting Electric Vehicle (EV) Charging Demand in Urban Areas
International Journal of Electrical Engineering, Mathematics and Computer Science
Asosiasi Riset Teknik Elektro dan Informatika Indonesia (ARTEII)
📄 Abstract
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.
🔖 Keywords
#Electric vehicles; charging demand; mathematical modeling; urban planning; infrastructure; energy consumption
ℹ️ Informasi Publikasi
Tanggal Publikasi
30 June 2024
Volume / Nomor / Tahun
Volume 1, Nomor 2, Tahun 2024
📝 HOW TO CITE
Tiara Shella; tiarashella@arteii.or.id, "Mathematical Models for Predicting Electric Vehicle (EV) Charging Demand in Urban Areas," International Journal of Electrical Engineering, Mathematics and Computer Science, vol. 1, no. 2, Jun. 2024.
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