Pular para o conteúdo principal

ETHNOS_APP

Início • Busca • Periódicos • Lista 0

Spatio-temporal modelling of electric vehicle charging demand and impacts on peak household electrical load

Dados Bibliográficos

ID12950271
AutoresPhillip Paevere (Commonwealth Scientific and Industrial Research Organisation), Andrew Higgins (0000-0002-1235-9550, Commonwealth Scientific and Industrial Research Organisation, autor correspondente), Zhengen Ren (0000-0002-7429-4879, Ecosystem Sciences), Mark Horn (Commonwealth Scientific and Industrial Research Organisation), George Grozev (Ecosystem Sciences), Cheryl McNamara (Ecosystem Sciences)
Ano2013
Volume9
Fascículo1
Páginas61-76
Data de publicação2013-11-04
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoSustainability Science (JOURNAL)
Identificadores do periódicoISSN: 1862-4057 • E-ISSN: 1862-4065
EditoraSpringer Science+Business Media (PUBLISHER • DE)
DOI10.1007/s11625-013-0235-3
OpenAlexW2060620564
IdiomaEN
Citações recebidas2
Referências citadas20

Electric vehicle · Electrical engineering · Electricity · Electricity demand · Electricity generation · Geography · Peak demand · Peak load · Power (physics · Suite · Advanced battery technologies research · Electric Vehicles and Infrastructure · Energy, Environment, and Transportation Policies · Engineering · Environmental Science · Automotive Engineering

  • Discovering Electric Vehicle Charging Locations Based on Clustering Techniques Applied to Vehicular Mobility Datasets

    Open Access•Elmer Magsino, Francis Miguel M Espiritu et al.•ISPRS International Journal of…•2024

  • The relative importance of price and driving range on electric vehicle adoption

    Open Access•Adedamola Adepetu, Srinivasan Keshav•Transportation•2017

Obras citantes distintas2
Citações por ano0,22
Intervalo de citações2017 - 2024 (8)
Velocidade de citaçãorecent
Altamente citadoNão
Tipos de citaçãoNeutras: 2
Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae