Research graph
References from Electric Vehicle Charging Demand Forecasting Using Progressive Graph Convolutional Networks With Waterwheel Plant Optimization. Local targets link to admitted publications; unresolved targets remain external evidence.
Electric Vehicle Charging Demand Forecasting Using Deep Learning Model
10.1080/15472450.2021.1966627 · 2022 · External reference
Forecasting Charging Demand of Electric Vehicles Using Time‐Series Models
10.3390/en14051487 · 2021 · External reference
Probabilistic Forecasts of Time and Energy Flexibility in Battery Electric Vehicle Charging
10.1016/j.apenergy.2020.114525 · 2020 · External reference
Data‐Driven Charging Demand Prediction at Public Charging Stations Using Supervised Machine Learning Regression Methods
10.3390/en13164231 · 2020 · External reference
Electric Vehicle Demand Estimation and Charging Station Allocation Using Urban Informatics
10.1016/j.trd.2022.103264 · 2022 · External reference
An Ensemble Methodology for Hierarchical Probabilistic Electric Vehicle Load Forecasting at Regular Charging Stations
10.1016/j.apenergy.2020.116337 · 2021 · External reference
Multistep Electric Vehicle Charging Station Occupancy Prediction Using Hybrid LSTM Neural Networks
10.1016/j.energy.2022.123217 · 2022 · External reference
Optimized Scheduling of EV Charging in Solar Parking Lots for Local Peak Reduction Under EV Demand Uncertainty
10.3390/en13051275 · 2020 · External reference
Multinodes Interval Electric Vehicle Day‐Ahead Charging Load Forecasting Based on Joint Adversarial Generation
10.1016/j.ijepes.2022.108404 · 2022 · External reference
An Advanced Machine Learning Based Energy Management of Renewable Microgrids Considering Hybrid Electric Vehicles' Charging Demand
10.3390/en14030569 · 2021 · External reference
Power Forecasting‐Based Coordination Dispatch of PV Power Generation and Electric Vehicles Charging in Microgrid
10.1016/j.renene.2020.03.169 · 2020 · External reference
Electric Vehicle Fast Charging Infrastructure Planning in Urban Networks Considering Daily Travel and Charging Behavior
10.1016/j.trd.2021.102769 · 2021 · External reference
Peak Shaving and Cost Minimization Using Model Predictive Control for Uni‐ and Bi‐Directional Charging of Electric Vehicles
10.1016/j.egyr.2021.11.207 · 2021 · External reference
Grey Wolf Optimizer‐Based Machine Learning Algorithm to Predict Electric Vehicle Charging Duration Time
10.1080/19427867.2022.2111902 · 2023 · External reference
Charging and Discharging Optimization Strategy for Electric Vehicles Considering Elasticity Demand Response
10.1016/j.etran.2023.100262 · 2023 · External reference
Short‐Term Electric Vehicle Charging Demand Prediction: A Deep Learning Approach
10.1016/j.apenergy.2023.121032 · 2023 · External reference
Prediction of Electric Vehicles Charging Demand: A Transformer‐Based Deep Learning Approach
10.3390/su15032105 · 2023 · External reference
Seasonal Electric Vehicle Forecasting Model Based on Machine Learning and Deep Learning Techniques
10.1016/j.egyai.2023.100285 · 2023 · External reference
Transfer Learning‐Based Framework Enhanced by Deep Generative Model for Cold‐Start Forecasting of Residential EV Charging Behavior
10.1109/tiv.2023.3328458 · 2023 · External reference
Predicting Electric Vehicle Charging Demand Using a Heterogeneous Spatio‐Temporal Graph Convolutional Network
10.1016/j.trc.2023.104205 · 2023 · External reference
A Synthetic Data Generation Technique for Enhancement of Prediction Accuracy of Electric Vehicles Demand
10.3390/s23020594 · 2023 · External reference
A Physics‐Informed and Attention‐Based Graph Learning Approach for Regional Electric Vehicle Charging Demand Prediction
10.1109/tits.2024.3401850 · 2024 · External reference
Spatial‐Temporal Graph Convolutional‐Based Recurrent Network for Electric Vehicle Charging Stations Demand Forecasting in Energy Market
10.1109/tsg.2024.3368419 · 2024 · External reference
Artificial Deep Neural Network Enables One‐Size‐Fits‐All Electric Vehicle User Behavior Prediction Framework
10.1016/j.apenergy.2023.121884 · 2023 · External reference
Day‐Ahead Forecast of Electric Vehicle Charging Demand With Deep Neural Networks
10.3390/wevj12040178 · 2021 · External reference
Deep Learning LSTM Recurrent Neural Network Model for Prediction of Electric Vehicle Charging Demand
10.3390/su141610207 · 2022 · External reference
Charging Demand Forecasting of Electric Vehicles Considering Uncertainties in a Microgrid
10.1016/j.energy.2022.123475 · 2022 · External reference
Unresolved reference
External reference
A Dynamical Gaussian, Lognormal, and Reverse Lognormal Kalman Filter
10.1002/qj.4595 · 2024 · External reference
PGCN: Progressive Graph Convolutional Networks for Spatial–Temporal Traffic Forecasting
10.1109/tits.2024.3349565 · 2024 · External reference
Waterwheel Plant Algorithm: A Novel Metaheuristic Optimization Method
2023 · External reference
A Dynamical Gaussian, Lognormal, and Reverse Lognormal Kalman Filter
10.1002/qj.4595 · ExternalCitation · doi-reference
Probabilistic Forecasts of Time and Energy Flexibility in Battery Electric Vehicle Charging
10.1016/j.apenergy.2020.114525 · ExternalCitation · doi-reference
An Ensemble Methodology for Hierarchical Probabilistic Electric Vehicle Load Forecasting at Regular Charging Stations
10.1016/j.apenergy.2020.116337 · ExternalCitation · doi-reference
Short‐Term Electric Vehicle Charging Demand Prediction: A Deep Learning Approach
10.1016/j.apenergy.2023.121032 · ExternalCitation · doi-reference
Artificial Deep Neural Network Enables One‐Size‐Fits‐All Electric Vehicle User Behavior Prediction Framework
10.1016/j.apenergy.2023.121884 · ExternalCitation · doi-reference
Seasonal Electric Vehicle Forecasting Model Based on Machine Learning and Deep Learning Techniques
10.1016/j.egyai.2023.100285 · ExternalCitation · doi-reference
Peak Shaving and Cost Minimization Using Model Predictive Control for Uni‐ and Bi‐Directional Charging of Electric Vehicles
10.1016/j.egyr.2021.11.207 · ExternalCitation · doi-reference
Multistep Electric Vehicle Charging Station Occupancy Prediction Using Hybrid LSTM Neural Networks
10.1016/j.energy.2022.123217 · ExternalCitation · doi-reference
Charging Demand Forecasting of Electric Vehicles Considering Uncertainties in a Microgrid
10.1016/j.energy.2022.123475 · ExternalCitation · doi-reference
Charging and Discharging Optimization Strategy for Electric Vehicles Considering Elasticity Demand Response
10.1016/j.etran.2023.100262 · ExternalCitation · doi-reference
Multinodes Interval Electric Vehicle Day‐Ahead Charging Load Forecasting Based on Joint Adversarial Generation
10.1016/j.ijepes.2022.108404 · ExternalCitation · doi-reference
Power Forecasting‐Based Coordination Dispatch of PV Power Generation and Electric Vehicles Charging in Microgrid
10.1016/j.renene.2020.03.169 · ExternalCitation · doi-reference
Predicting Electric Vehicle Charging Demand Using a Heterogeneous Spatio‐Temporal Graph Convolutional Network
10.1016/j.trc.2023.104205 · ExternalCitation · doi-reference
Electric Vehicle Fast Charging Infrastructure Planning in Urban Networks Considering Daily Travel and Charging Behavior
10.1016/j.trd.2021.102769 · ExternalCitation · doi-reference
Electric Vehicle Demand Estimation and Charging Station Allocation Using Urban Informatics
10.1016/j.trd.2022.103264 · ExternalCitation · doi-reference
Electric Vehicle Charging Demand Forecasting Using Deep Learning Model
10.1080/15472450.2021.1966627 · ExternalCitation · doi-reference
Grey Wolf Optimizer‐Based Machine Learning Algorithm to Predict Electric Vehicle Charging Duration Time
10.1080/19427867.2022.2111902 · ExternalCitation · doi-reference
PGCN: Progressive Graph Convolutional Networks for Spatial–Temporal Traffic Forecasting
10.1109/tits.2024.3349565 · ExternalCitation · doi-reference
A Physics‐Informed and Attention‐Based Graph Learning Approach for Regional Electric Vehicle Charging Demand Prediction
10.1109/tits.2024.3401850 · ExternalCitation · doi-reference
Transfer Learning‐Based Framework Enhanced by Deep Generative Model for Cold‐Start Forecasting of Residential EV Charging Behavior
10.1109/tiv.2023.3328458 · ExternalCitation · doi-reference
Spatial‐Temporal Graph Convolutional‐Based Recurrent Network for Electric Vehicle Charging Stations Demand Forecasting in Energy Market
10.1109/tsg.2024.3368419 · ExternalCitation · doi-reference
Optimized Scheduling of EV Charging in Solar Parking Lots for Local Peak Reduction Under EV Demand Uncertainty
10.3390/en13051275 · ExternalCitation · doi-reference
Data‐Driven Charging Demand Prediction at Public Charging Stations Using Supervised Machine Learning Regression Methods
10.3390/en13164231 · ExternalCitation · doi-reference
An Advanced Machine Learning Based Energy Management of Renewable Microgrids Considering Hybrid Electric Vehicles' Charging Demand
10.3390/en14030569 · ExternalCitation · doi-reference
Forecasting Charging Demand of Electric Vehicles Using Time‐Series Models
10.3390/en14051487 · ExternalCitation · doi-reference
A Synthetic Data Generation Technique for Enhancement of Prediction Accuracy of Electric Vehicles Demand
10.3390/s23020594 · ExternalCitation · doi-reference
Deep Learning LSTM Recurrent Neural Network Model for Prediction of Electric Vehicle Charging Demand
10.3390/su141610207 · ExternalCitation · doi-reference
Prediction of Electric Vehicles Charging Demand: A Transformer‐Based Deep Learning Approach
10.3390/su15032105 · ExternalCitation · doi-reference
Day‐Ahead Forecast of Electric Vehicle Charging Demand With Deep Neural Networks
10.3390/wevj12040178 · ExternalCitation · doi-reference
