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Spatial and Temporal Charging Infrastructure Planning Using Discrete Event Simulation

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.jocs.2015.10.012openalex-snapshot

Simulation-assisted exploration of charging infrastructure requirements for electric vehicles in urban environments

inferredcites →https://doi.org/10.1016/j.procs.2016.05.347openalex-snapshot

Influence of Charging Behaviour Given Charging Station Placement at Existing Petrol Stations and Residential Car Park Locations in Singapore

inferredcites →https://doi.org/10.1016/j.trc.2010.12.010openalex-snapshot

Electric vehicles: How much range is required for a day’s driving?

inferredcites →https://doi.org/10.1109/energycon.2012.6347725openalex-snapshot

Fast charging stations for electric vehicle: The impact on the mv distribution grids of the milan metropolitan area

inferredcites →https://doi.org/10.1109/pesmg.2013.6672085openalex-snapshot

Planning of electric vehicle charging infrastructure

inferredcites →https://doi.org/10.1109/tsg.2014.2344684openalex-snapshot

Electric Vehicle Charging Station Placement: Formulation, Complexity, and Solutions

inferredcites →https://doi.org/10.1787/9789264279469-enopenalex-snapshot

Global EV Outlook 2016

inferredcites →https://doi.org/10.5445/ksp/1000053253openalex-snapshot

Planning the Charging Infrastructure for Electric Vehicles in Cities and Regions

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.3991823openalex-extracted

Optimal Placement and Sizing of Charging Infrastructure for Evs Under Information-Sharing

inferred← citeshttps://doi.org/10.2139/ssrn.3991874openalex-extracted

inferred← citeshttps://doi.org/10.2139/ssrn.4658638openalex-extracted

Charging the Unserved: Agent-Based Modelling of Charging Demand in Copenhagen with Information-Sharing Mechanisms

inferred← citeshttps://doi.org/10.2139/ssrn.4872106openalex-extracted

inferred← citeshttps://doi.org/10.1016/j.apenergy.2024.124985openalex-snapshot

Incremental expansion of large scale fixed and mobile charging infrastructure in stochastic environments: A novel graph-based Benders decomposition approach

inferred← citeshttps://doi.org/10.1016/j.techfore.2022.122205openalex-snapshot

Optimal placement and sizing of charging infrastructure for EVs under information-sharing

inferred← citeshttps://doi.org/10.1016/j.trd.2022.103177openalex-snapshot

An integrated optimization platform for spatial-temporal modeling of electric vehicle charging infrastructure

inferred← citeshttps://doi.org/10.1016/j.trd.2022.103330openalex-snapshot

Cost–benefit of a state-road charging system: The case of Denmark

inferred← citeshttps://doi.org/10.1109/gecost60902.2024.10474852openalex-snapshot

Modeling Electric Vehicle Charging Station in Bandung Area via Discrete Event Simulation

inferred← citeshttps://doi.org/10.1109/itsc.2017.8317680openalex-snapshot

A simulation-based heuristic for city-scale electric vehicle charging station placement

inferred← citeshttps://doi.org/10.1109/wsc68292.2025.11339027openalex-snapshot

Identification of Spatial Energy Demand Shift Flexibilities of EV Charging on Regional Level through Agent-Based Simulation

inferred← citeshttps://doi.org/10.3390/app9214704openalex-snapshot

Is Deployment of Charging Station the Barrier to Electric Vehicle Fleet Development in EU Urban Areas? An Analytical Assessment Model for Large-Scale Municipality-Level EV Charging Infrastructures

inferred← citeshttps://doi.org/10.3390/books978-3-03936-001-7openalex-snapshot

Cutting-Edge Technologies for Renewable Energy Production and Storage

inferred← citeshttps://doi.org/10.3390/en14133734openalex-snapshot

Modeling Electric Vehicle Charging Demand with the Effect of Increasing EVSEs: A Discrete Event Simulation-Based Model

inferred← citeshttps://doi.org/10.3390/su13105421openalex-snapshot

A Cellular Automata Agent-Based Hybrid Simulation Tool to Analyze the Deployment of Electric Vehicle Charging Stations

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