… the electric grid due to their random and volatile nature. Consequently, predicting the charging demand for electricvehicles is becoming a priority to maintain a steady supply of electric …
… 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 …
X Bai, Z Wang, L Zou, H Liu, Q Sun… - Complex & Intelligent …, 2022 - Springer
… This paper is concerned with the electricvehicle (EV) charging … demand. Considering the dynamic charging behavior of EV users, a dynamic prediction method of EV charging demand …
… electricvehicle infrastructures (EVIs) are considered, we propose a lightweight authentication FL-based energy demandprediction … accurate electricity demandprediction framework to …
… electricvehicles instead of conventional vehicles [3]. Many apparent difficulties impede the widespread adoption of electricvehicles, … and associated ElectricVehicle Supply Equipment (…
M Majidpour, C Qiu, P Chu, R Gadh… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
… for the prediction of energy consumption at electricvehicle (EV… the data, and making the prediction needs to be within a few … an approach for fast demandprediction of the sparse time …
J Guo, H He, C Sun - IEEE Transactions on Vehicular …, 2019 - ieeexplore.ieee.org
… Compared with the other power demandprediction methods, our prediction structure has the following features. 1) Data-driven velocity prediction and gradient prediction are …
… the method for the prediction of the electricvehicledemand. We have proposed … electric vehicle count data and Auto regressive model was used to predict the day ahead electricvehicle …
YW Chung, B Khaki, C Chu… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
… and charging demand of electricvehicles (EVs), … predicting EV user behavior and scheduling EV charging load. Index Terms—EV charging scheduling, EV user behavior prediction…