Forecasting Charging Demand of Electric Vehicles Using Time-Series Models
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Forecasting Charging Demand of Electric Vehicles Using Time-Series Models
Authors
Keywords
-
Journal
Energies
Volume 14, Issue 5, Pages 1487
Publisher
MDPI AG
Online
2021-03-09
DOI
10.3390/en14051487
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Probabilistic forecasts of time and energy flexibility in battery electric vehicle charging
- (2020) Julian Huber et al. APPLIED ENERGY
- Multi-objective energy management of multiple microgrids under random electric vehicle charging
- (2020) Bifei Tan et al. ENERGY
- EV charging load simulation and forecasting considering traffic jam and weather to support the integration of renewables and EVs
- (2020) Jie Yan et al. RENEWABLE ENERGY
- Modeling and Forecasting Electric Vehicle Consumption Profiles
- (2019) Alexis Gerossier et al. Energies
- Short-Term Load Forecasting for Electric Vehicle Charging Stations Based on Deep Learning Approaches
- (2019) Juncheng Zhu et al. Applied Sciences-Basel
- Electric Vehicle Charging Load Forecasting: A Comparative Study of Deep Learning Approaches
- (2019) Juncheng Zhu et al. Energies
- Short term electricity load forecasting for institutional buildings
- (2019) Yunsun Kim et al. Energy Reports
- Short-Term Load Forecasting for Electric Vehicle Charging Station Based on Niche Immunity Lion Algorithm and Convolutional Neural Network
- (2018) Yunyan Li et al. Energies
- Forecasting electricity demand of electric vehicles by analyzing consumers’ charging patterns
- (2018) HyungBin Moon et al. TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
- The Application of Improved Random Forest Algorithm on the Prediction of Electric Vehicle Charging Load
- (2018) Yiqi Lu et al. Energies
- An Electric Power Consumption Analysis System for the Installation of Electric Vehicle Charging Stations
- (2017) Seongpil Cheon et al. Energies
- Electric vehicle charging demand forecasting model based on big data technologies
- (2016) Mariz B. Arias et al. APPLIED ENERGY
- Forecasting the EV charging load based on customer profile or station measurement?
- (2016) Mostafa Majidpour et al. APPLIED ENERGY
- ARIMA-based decoupled time series forecasting of electric vehicle charging demand for stochastic power system operation
- (2016) M. Hadi Amini et al. ELECTRIC POWER SYSTEMS RESEARCH
- Forecasting Time Series With Complex Seasonal Patterns Using Exponential Smoothing
- (2012) Alysha M. De Livera et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now