Electric vehicle charging demand forecasting model based on big data technologies

MB Arias, S Bae - Applied energy, 2016 - Elsevier
… This paper presents a forecasting model to estimate electric vehicle charging demand … data
and weather conditions in predicting the electric vehicle charging demand. In this paper, the …

Electric vehicle charging demand forecasting using deep learning model

Z Yi, XC Liu, R Wei, X Chen, J Dai - Journal of Intelligent …, 2022 - Taylor & Francis
… -increasing demand emerge as well. Effectively forecasting the commercial EV charging
demand … a time-series forecasting of the monthly commercial EV charging demand using a deep …

ARIMA-based decoupled time series forecasting of electric vehicle charging demand for stochastic power system operation

MH Amini, A Kargarian, O Karabasoglu - Electric Power Systems Research, 2016 - Elsevier
… (ARIMA) method for demand forecasting of conventional electrical load (CEL) and charging
… we also take the stochastic behavior of the electric vehicles into account, ie, we consider the …

[HTML][HTML] Urban electric vehicle fast-charging demand forecasting model based on data-driven approach and human decision-making behavior

Q Xing, Z Chen, Z Zhang, X Xu, T Zhang, X Huang… - Energies, 2020 - mdpi.com
… In this section, we build a single electric vehicle model to provide theoretical support for the
… This paper proposes an urban EV fast-charging demand forecasting model to plan driving …

Review of electric vehicle charging demand forecasting based on multi-source data

HJ Feng, LC Xi, YZ Jun, YX Ling… - 2020 IEEE Sustainable …, 2020 - ieeexplore.ieee.org
… current commonly used electric vehicle charging demand analysis models and forecasting
methods, proposes the research direction of charging demand forecasting that integrates multi…

[HTML][HTML] Day-ahead forecast of electric vehicle charging demand with deep neural networks

G Van Kriekinge, C De Cauwer… - World Electric Vehicle …, 2021 - mdpi.com
… Section 2 gives an introduction to the methods and benefits of coordinated smart charging,
provides an overview of the relevant literature on the EV charging demand forecasting of …

[HTML][HTML] A data-driven framework for medium-term electric vehicle charging demand forecasting

A Orzechowski, L Lugosch, H Shu, R Yang, W Li… - Energy and AI, 2023 - Elsevier
… to forecast demand at public EV charging stations, and use it to explore the potential of
data-driven models to predict demand up … to forecast medium-term public EV charging demand, to …

[HTML][HTML] Forecasting charging demand of electric vehicles using time-series models

Y Kim, S Kim - Energies, 2021 - mdpi.com
… In addition to economic policies regarding electric vehicles, the supporting infrastructure, …
This study proposes an optimal forecasting model for electric vehicle power suppliers regarding …

Charging demand forecasting model for electric vehicles based on online ride-hailing trip data

Q Xing, Z Chen, Z Zhang, X Huang, Z Leng, K Sun… - Ieee …, 2019 - ieeexplore.ieee.org
… On the basis of this, a charging demand forecasting model of EVs based on a data-driven …
’ transportation trip demand is not restricted by vehicle categories(electric or fuel vehicles). The …

Charging demand forecasting of electric vehicles considering uncertainties in a microgrid

C Wu, S Jiang, S Gao, Y Liu, H Han - Energy, 2022 - Elsevier
… the time of arrival, the forecasting of EV status is an important part of charging demand
forecasting [5,6]. To date, numerous methods have addressed the forecasting of EV status, such …