On the public citation graph
Recent advances of optimal sizing and location of charging stations: A critical overview
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1 of the 131 references listed on this page is in the Retraction Watch database as retracted (export 2026-10-28): 10.1186/s41601-019-0147-z (notice 2022-03-11).
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Retraction Watch data via Crossref Labs, used with credit; OpenCitations Index (CC0) and Meta (CC BY 4.0);
dataset doi:10.7910/DVN/WT8VOA (CC BY 4.0).
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/er.4287openalex-snapshotOptimized sizing of photovoltaic grid‐connected electric vehicle charging system using particle swarm optimization
inferredcites →https://doi.org/10.1002/er.6104openalex-snapshotModelling, applications, and evaluations of optimal sizing and placement of distributed generations: A critical state‐of‐the‐art survey
inferredcites →https://doi.org/10.1002/er.7442openalex-snapshotA multiobjective planning framework for EV charging stations assisted by solar photovoltaic and battery energy storage system in coupled power and transportation network
inferredcites →https://doi.org/10.1002/er.7729openalex-snapshotOptimal sizing of hybrid renewable energy systems by considering power sharing and electric vehicles
inferredcites →https://doi.org/10.1002/er.7780openalex-snapshotSimultaneous allocation of EV charging stations and renewable energy sources: An Elite RERNN‐m2MPA approach
inferredcites →https://doi.org/10.1002/er.7915openalex-snapshotCharge scheduling framework with multiaggregator collaboration for direct charging and battery swapping station in a coupled distribution‐transportation network
inferredcites →https://doi.org/10.1002/er.8132openalex-snapshotTechno‐economic feasibility of hydrogen based electric vehicle charging station: A case study
inferredcites →https://doi.org/10.1016/j.cie.2018.10.045openalex-snapshotAn efficient integration of the genetic algorithm and the reinforcement learning for optimal deployment of the wireless charging electric tram system
inferredcites →https://doi.org/10.1016/j.enconman.2019.112340openalex-snapshotA geographical information system based multi-criteria decision-making approach for location analysis and evaluation of urban photovoltaic charging station: A case study in Beijing
inferredcites →https://doi.org/10.1016/j.scs.2020.102623openalex-snapshotA novel multi-criteria decision-making method for selecting the site of an electric-vehicle charging station from a sustainable perspective
inferredcites →https://doi.org/10.1016/j.seta.2022.102026openalex-snapshotElectric car sharing stations site selection from the perspective of sustainability: A GIS-based multi-criteria decision making approach
inferredcites →https://doi.org/10.1016/j.trc.2015.06.022openalex-snapshotOptimal location of wireless charging facilities for electric vehicles: Flow-capturing location model with stochastic user equilibrium
inferredcites →https://doi.org/10.1016/j.trc.2016.02.003openalex-snapshotIncorporating institutional and spatial factors in the selection of the optimal locations of public electric vehicle charging facilities: A case study of Beijing, China
inferredcites →https://doi.org/10.1061/9780784483169.022openalex-snapshotA Review of Different Charging Stations Optimal Localization Models and Analysis Functions for the Electric Vehicle Charging Infrastructure
inferredcites →https://doi.org/10.1186/s41601-019-0149-xopenalex-snapshotOptimal integration of DGs into radial distribution network in the presence of plug-in electric vehicles to minimize daily active power losses and to improve the voltage profile of the system using bio-inspired optimization algorithms
inferredcites →https://doi.org/10.1186/s41601-020-00163-xopenalex-snapshotPower quality enhancement and engineering application with high permeability distributed photovoltaic access to low-voltage distribution networks in Australia
inferredcites →https://doi.org/10.1186/s41601-020-0154-0openalex-snapshotMulti-objective optimization strategy for distribution network considering V2G-enabled electric vehicles in building integrated energy system
inferredcites →https://doi.org/10.3141/2252-12openalex-snapshotOptimal Location of Charging Stations for Electric Vehicles in a Neighborhood in Lisbon, Portugal
inferredcites →https://doi.org/10.3390/en10081217openalex-snapshotA Comprehensive Study of Key Electric Vehicle (EV) Components, Technologies, Challenges, Impacts, and Future Direction of Development
inferredcites →https://doi.org/10.3390/en10091270openalex-snapshotA Decision Framework for Electric Vehicle Charging Station Site Selection for Residential Communities under an Intuitionistic Fuzzy Environment: A Case of Beijing
inferredcites →https://doi.org/10.3390/en9030157openalex-snapshotOptimal Site Selection of Electric Vehicle Charging Stations Based on a Cloud Model and the PROMETHEE Method
inferredcites →https://doi.org/10.3390/en9040270openalex-snapshotOptimal Siting of Charging Stations for Electric Vehicles Based on Fuzzy Delphi and Hybrid Multi-Criteria Decision Making Approaches from an Extended Sustainability Perspective
inferredcites →https://doi.org/10.3390/su11071973openalex-snapshotOptimal Photovoltaic/Battery Energy Storage/Electric Vehicle Charging Station Design Based on Multi-Agent Particle Swarm Optimization Algorithm
inferredcites →https://doi.org/10.3390/su13042396openalex-snapshotA Comprehensive Review on Developments in Electric Vehicle Charging Station Infrastructure and Present Scenario of India
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1016/j.est.2025.118585openalex-snapshotMulti-objective planning of charging stations and shunt capacitors considering Driving Range-based Traffic Flow in distribution networks
inferred← citeshttps://doi.org/10.1080/23302674.2023.2191804openalex-snapshotRouting a mixed fleet of conventional and electric vehicles for urban delivery problems: considering different charging technologies and battery swapping
inferred← citeshttps://doi.org/10.3390/en16010474openalex-snapshotAllocation of Renewable Energy Resources in Distribution Systems While Considering the Uncertainty of Wind and Solar Resources via the Multi-Objective Salp Swarm Algorithm
inferred← citeshttps://doi.org/10.3390/en18081944openalex-snapshotCoordinated Interaction Strategy of User-Side EV Charging Piles for Distribution Network Power Stability
inferred← citeshttps://doi.org/10.3390/en18112701openalex-snapshotThe Optimal Dispatch for a Flexible Distribution Network Equipped with Mobile Energy Storage Systems and Soft Open Points
inferred← citeshttps://doi.org/10.3390/en18174576openalex-snapshotDynaG Algorithm-Based Optimal Power Flow Design for Hybrid Wind–Solar–Storage Power Systems Considering Demand Response
inferred← citeshttps://doi.org/10.3390/pr13020534openalex-snapshotOptimal Dispatch for Electric-Heat-Gas Coupling Multi-Park Integrated Energy Systems via Nash Bargaining Game
inferred← citeshttps://doi.org/10.3390/pr13020540openalex-snapshotOptimal Scheduling of Integrated Energy System Based on Carbon Capture–Power to Gas Combined Low-Carbon Operation
inferred← citeshttps://doi.org/10.3390/pr13051492openalex-snapshotOptimal Scheduling of Active Distribution Networks with Hybrid Energy Storage Systems Under Real Road Network Topology
inferred← citeshttps://doi.org/10.3390/pr13072242openalex-snapshotOptimal Collaborative Scheduling Strategy of Mobile Energy Storage System and Electric Vehicles Considering SpatioTemporal Characteristics
inferred← citeshttps://doi.org/10.3390/pr14132068openalex-snapshotA Review of Multi-Agent Intelligent Interaction Technologies for Renewable Energy Vehicles Under a Vehicle-Station-Traffic-Grid Coupling System
inferred← citeshttps://doi.org/10.46932/sfjdv6n12-035openalex-snapshotProject Management 4.0 e Inteligencia Artificial en proyectos de estaciones de carga para vehículos eléctricos: revisión sistemática de modelos, aplicaciones y brechas
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