A review of electric vehicle load open data and models

Y Amara-Ouali, Y Goude, P Massart, JM Poggi, H Yan - Energies, 2021 - mdpi.com
The field of electric vehicle charging load modelling has been growing rapidly in the last
decade. In light of the Paris Agreement, it is crucial to keep encouraging better modelling …

Electric vehicle charging demand forecasting model based on big data technologies

MB Arias, S Bae - Applied energy, 2016 - Elsevier
This paper presents a forecasting model to estimate electric vehicle charging demand based
on big data technologies. Most previous studies have not considered real-world traffic …

An ensemble methodology for hierarchical probabilistic electric vehicle load forecasting at regular charging stations

L Buzna, P De Falco, G Ferruzzi, S Khormali, D Proto… - Applied Energy, 2021 - Elsevier
Transportation electrification is a valid option for supporting decarbonization efforts but, at
the same time, the growing number of electric vehicles will produce new and unpredictable …

Optimal charging scheduling of electric vehicles in smart grids by heuristic algorithms

M Alonso, H Amaris, JG Germain, JM Galan - Energies, 2014 - mdpi.com
Transportation electrification has become an important issue in recent decades and the
large scale deployment of electric vehicles (EVs) has yet to be achieved. The smart …

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 …

Probabilistic agent-based model of electric vehicle charging demand to analyse the impact on distribution networks

P Olivella-Rosell, R Villafafila-Robles, A Sumper… - Energies, 2015 - mdpi.com
Electric Vehicles (EVs) have seen significant growth in sales recently and it is not clear how
power systems will support the charging of a great number of vehicles. This paper proposes …

A deep learning based approach for predicting the demand of electric vehicle charge

MD Eddine, Y Shen - The Journal of Supercomputing, 2022 - Springer
Predicting the demand for Electric Vehicle charging energy is essential to increase
utilization for the company, reduce costs for both car owners and the company and alleviate …

Modelling and assessment of the combined technical impact of electric vehicles and photovoltaic generation in radial distribution systems

JC Hernández, FJ Ruiz-Rodriguez, F Jurado - Energy, 2017 - Elsevier
Photovoltaics (PVs) provide new opportunities for radial distribution systems (RDSs) that
feed electric vehicle charging stations (EVCSs). However, the accurate assessment of the …

Light electric vehicle charging strategy for low impact on the grid

P Bastida-Molina, E Hurtado-Pérez… - … Science and Pollution …, 2021 - Springer
The alarming increase in the average temperature of the planet due to the massive emission
of greenhouse gases has stimulated the introduction of electric vehicles (EV), given …

Probabilistic load-flow analysis of biomass-fuelled gas engines with electrical vehicles in distribution systems

FJ Ruiz-Rodríguez, JC Hernández, F Jurado - Energies, 2017 - mdpi.com
Feeding biomass-fueled gas engines (BFGEs) with olive tree pruning residues offers new
opportunities to decrease fossil fuel use in road vehicles and electricity generation. BFGEs …