SPAP: Simultaneous demand prediction and planning for electric vehicle chargers in a new city

Y Wang, D Zhao, Y Ren, D Zhang, H Ma - ACM Transactions on …, 2023 - dl.acm.org
demand prediction and charger planning depend on each other, and it is required to re-train
the prediction … an effective solution of Simultaneous Demand Prediction And Planning (SPAP…

Prediction of electric vehicles charging demand: A transformer-based deep learning approach

S Koohfar, W Woldemariam, A Kumar - Sustainability, 2023 - mdpi.com
… the electric grid due to their random and volatile nature. Consequently, predicting the charging
demand for electric vehicles is becoming a priority to maintain a steady supply of electric

Forecasting charging demand of electric vehicles using time-series models

Y Kim, S Kim - Energies, 2021 - mdpi.com
… whether exogenous variables contribute to prediction accuracy. Some researchers believe
that a longer data history is more helpful in the modeling and prediction of future values. This …

Electric vehicle charging station planning with dynamic prediction of elastic charging demand: A hybrid particle swarm optimization algorithm

X Bai, Z Wang, L Zou, H Liu, Q Sun… - Complex & Intelligent …, 2022 - Springer
… This paper is concerned with the electric vehicle (EV) charging … demand. Considering the
dynamic charging behavior of EV users, a dynamic prediction method of EV charging demand

Secure-enhanced federated learning for AI-empowered electric vehicle energy prediction

W Wang, FH Memon, Z Lian, Z Yin… - IEEE Consumer …, 2021 - ieeexplore.ieee.org
electric vehicle infrastructures (EVIs) are considered, we propose a lightweight authentication
FL-based energy demand prediction … accurate electricity demand prediction framework to …

Data-driven charging demand prediction at public charging stations using supervised machine learning regression methods

A Almaghrebi, F Aljuheshi, M Rafaie, K James… - Energies, 2020 - mdpi.com
electric vehicles instead of conventional vehicles [3]. Many apparent difficulties impede the
widespread adoption of electric vehicles, … and associated Electric Vehicle Supply Equipment (…

Fast prediction for sparse time series: Demand forecast of EV charging stations for cell phone applications

M Majidpour, C Qiu, P Chu, R Gadh… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
… for the prediction of energy consumption at electric vehicle (EV… the data, and making the
prediction needs to be within a few … an approach for fast demand prediction of the sparse time …

ARIMA-based road gradient and vehicle velocity prediction for hybrid electric vehicle energy management

J Guo, H He, C Sun - IEEE Transactions on Vehicular …, 2019 - ieeexplore.ieee.org
… Compared with the other power demand prediction methods, our prediction structure has
the following features. 1) Data-driven velocity prediction and gradient prediction are …

Electrical vehicle charging demand prediction using wavelet based analysis

MNF Imara, KM Liyanage - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
… the method for the prediction of the electric vehicle demand. We have proposed … electric
vehicle count data and Auto regressive model was used to predict the day ahead electric vehicle

Electric vehicle user behavior prediction using hybrid kernel density estimator

YW Chung, B Khaki, C Chu… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
… and charging demand of electric vehicles (EVs), … predicting EV user behavior and
scheduling EV charging load. Index Terms—EV charging scheduling, EV user behavior prediction