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Spatial-Temporal Distribution Prediction of Electric Vehicle Charging Load at Highway Service Areas

https://doi.org/10.2139/ssrn.5251774
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s40565-019-0516-7openalex-snapshot
Interdependence between transportation system and power distribution system: a comprehensive review on models and applications
inferredcites →https://doi.org/10.1016/j.aej.2024.12.069openalex-snapshot
Electric Vehicle charging station load forecasting with an integrated DeepBoost approach
inferredcites →https://doi.org/10.1016/j.apenergy.2013.10.006openalex-snapshot
A Spatial–Temporal model for grid impact analysis of plug-in electric vehicles
inferredcites →https://doi.org/10.1016/j.apenergy.2017.02.021openalex-snapshot
Prediction of electric vehicle charging-power demand in realistic urban traffic networks
inferredcites →https://doi.org/10.1016/j.apenergy.2020.115063openalex-snapshot
Daily electric vehicle charging load profiles considering demographics of vehicle users
inferredcites →https://doi.org/10.1016/j.apenergy.2023.120798openalex-snapshot
Stacking regression technology with event profile for electric vehicle fast charging behavior prediction
inferredcites →https://doi.org/10.1016/j.energy.2015.12.140openalex-snapshot
Optimal charging scheduling for large-scale EV (electric vehicle) deployment based on the interaction of the smart-grid and intelligent-transport systems
inferredcites →https://doi.org/10.1016/j.energy.2018.04.089openalex-snapshot
Modelling the integrated power and transport energy system: The role of power-to-gas and hydrogen in long-term scenarios for Italy
inferredcites →https://doi.org/10.1016/j.est.2022.106294openalex-snapshot
Charging demand prediction in Beijing based on real-world electric vehicle data
inferredcites →https://doi.org/10.1016/j.est.2024.111230openalex-snapshot
Predictive power fluctuation mitigation in grid-connected PV systems with rapid response to EV charging stations
inferredcites →https://doi.org/10.1016/j.ijepes.2018.01.008openalex-snapshot
Markov Chain Monte Carlo simulation of electric vehicle use for network integration studies
inferredcites →https://doi.org/10.1016/j.jclepro.2018.05.190openalex-snapshot
Multi-objective optimal load dispatch of microgrid with stochastic access of electric vehicles
inferredcites →https://doi.org/10.1016/j.jclepro.2019.119886openalex-snapshot
A scenario-based stochastic optimization model for charging scheduling of electric vehicles under uncertainties of vehicle availability and charging demand
inferredcites →https://doi.org/10.1016/j.rser.2021.111756openalex-snapshot
Comprehensive review & impact analysis of integrating projected electric vehicle charging load to the existing low voltage distribution system
inferredcites →https://doi.org/10.1049/gtd2.13276openalex-snapshot
Improving electric vehicle charging forecasting: A hybrid deep learning approach for probabilistic predictions
inferredcites →https://doi.org/10.1049/iet-gtd.2015.0995openalex-snapshot
Charging demand for electric vehicle based on stochastic analysis of trip chain
inferredcites →https://doi.org/10.1109/access.2019.2940597openalex-snapshot
Charging Demand Forecasting Model for Electric Vehicles Based on Online Ride-Hailing Trip Data
inferredcites →https://doi.org/10.1109/icnepe60694.2023.10429667openalex-snapshot
Prediction of EV Random Charging Load Based on Monte Carlo Simulation Method
inferredcites →https://doi.org/10.1109/tpwrs.2010.2057456openalex-snapshot
Modeling of Load Demand Due to EV Battery Charging in Distribution Systems
inferredcites →https://doi.org/10.1109/tpwrs.2012.2186595openalex-snapshot
A Methodology for Optimization of Power Systems Demand Due to Electric Vehicle Charging Load
inferredcites →https://doi.org/10.1109/tsg.2012.2190628openalex-snapshot
Integrating Power Systems, Transport Systems and Vehicle Technology for Electric Mobility Impact Assessment and Efficient Control
inferredcites →https://doi.org/10.1109/tsg.2015.2437415openalex-snapshot
Probabilistic Modeling of Nodal Charging Demand Based on Spatial-Temporal Dynamics of Moving Electric Vehicles
inferredcites →https://doi.org/10.1109/tsg.2016.2545113openalex-snapshot
A Reliability Assessment Approach for Integrated Transportation and Electrical Power Systems Incorporating Electric Vehicles
inferredcites →https://doi.org/10.1109/tsg.2016.2635025openalex-snapshot
Optimal Routing and Charging of an Electric Vehicle Fleet for High-Efficiency Dynamic Transit Systems
inferredcites →https://doi.org/10.2478/jlst-2020-0004openalex-snapshot
Methods and Models for Electric Load Forecasting: A Comprehensive Review
inferredcites →https://doi.org/10.3390/en14051487openalex-snapshot
Forecasting Charging Demand of Electric Vehicles Using Time-Series Models
inferredcites →https://doi.org/10.3390/en16010146openalex-snapshot
Application of Artificial Intelligence for EV Charging and Discharging Scheduling and Dynamic Pricing: A Review
inferredcites →https://doi.org/10.3390/su17051807openalex-snapshot
EV Charging Behavior Analysis and Load Prediction via Order Data of Charging Stations
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