Prediction of electric vehicle charging-power demand in realistic urban traffic networks

MB Arias, M Kim, S Bae - Applied energy, 2017 - Elsevier
This paper presents a time-spatial electric vehicle (EV) charging-power demand forecast
model at fast-charging stations located in urban areas. Most previous studies have …

Prediction of electric vehicle charging-power demand in realistic urban traffic networks

MB Arias, M Kim, S Bae - APPLIED ENERGY, 2017 - repository.hanyang.ac.kr
This paper presents a time-spatial electric vehicle (EV) charging-power demand forecast
model at fast charging stations located in urban areas. Most previous studies have …

Prediction of electric vehicle charging-power demand in realistic urban traffic networks

MB Arias, M Kim, S Bae - Applied Energy, 2017 - infona.pl
This paper presents a time-spatial electric vehicle (EV) charging-power demand forecast
model at fast-charging stations located in urban areas. Most previous studies have …

Prediction of electric vehicle charging-power demand in realistic urban traffic networks

MB Arias, M Kim, S Bae - Applied Energy, 2017 - ideas.repec.org
This paper presents a time-spatial electric vehicle (EV) charging-power demand forecast
model at fast-charging stations located in urban areas. Most previous studies have …

Prediction of electric vehicle charging-power demand in realistic urban traffic networks

MB Arias, M Kim, S Bae - Applied Energy, 2017 - econpapers.repec.org
This paper presents a time-spatial electric vehicle (EV) charging-power demand forecast
model at fast-charging stations located in urban areas. Most previous studies have …

Prediction of electric vehicle charging-power demand in realistic urban traffic networks

MB Arias, M Kim, S Bae - APPLIED ENERGY, 2017 - scholarworks.bwise.kr
This paper presents a time-spatial electric vehicle (EV) charging-power demand forecast
model at fast charging stations located in urban areas. Most previous studies have …

Prediction of electric vehicle charging-power demand in realistic urban traffic networks

MB Arias, M Kim, S Bae - Applied Energy, 2017 - ui.adsabs.harvard.edu
This paper presents a time-spatial electric vehicle (EV) charging-power demand forecast
model at fast-charging stations located in urban areas. Most previous studies have …

[引用][C] Prediction of electric vehicle charging-power demand in realistic urban traffic networks

MB Arias, M Kim, S Bae - 2017