Modeling the Charging Behaviors for Electric Vehicles Based on Ternary Symmetric Kernel Density Estimation
出版年份 2020 全文链接
标题
Modeling the Charging Behaviors for Electric Vehicles Based on Ternary Symmetric Kernel Density Estimation
作者
关键词
-
出版物
Energies
Volume 13, Issue 7, Pages 1551
出版商
MDPI AG
发表日期
2020-04-01
DOI
10.3390/en13071551
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Quantifying flexibility of residential electric vehicle charging loads using non-intrusive load extracting algorithm in demand response
- (2019) Hongshan Zhao et al. Sustainable Cities and Society
- Research on the spatial-temporal distribution of electric vehicle charging load demand: A case study in China
- (2019) Tao Yi et al. JOURNAL OF CLEANER PRODUCTION
- Quantitive analysis of electric vehicle flexibility: A data-driven approach
- (2018) N. Sadeghianpourhamami et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- An Analysis of the Charging Characteristics of Electric Vehicles Based on Measured Data and Its Application
- (2018) Zhong Chen et al. IEEE Access
- Statistical characterisation of the real transaction data gathered from electric vehicle charging stations
- (2018) Marco Giacomo Flammini et al. ELECTRIC POWER SYSTEMS RESEARCH
- Modelling of large-scale electric vehicles charging demand: A New Zealand case study
- (2018) Jun Su et al. ELECTRIC POWER SYSTEMS RESEARCH
- Neuromorphic Hardware Architecture Using the Neural Engineering Framework for Pattern Recognition
- (2017) Runchun Wang et al. IEEE Transactions on Biomedical Circuits and Systems
- EV charging behaviour analysis and modelling based on mobile crowdsensing data
- (2017) Tianyu Yang et al. IET Generation Transmission & Distribution
- Modeling of plug-in electric vehicle travel patterns and charging load based on trip chain generation
- (2017) Dai Wang et al. JOURNAL OF POWER SOURCES
- Network Equilibrium of Coupled Transportation and Power Distribution Systems
- (2017) Wei Wei et al. IEEE Transactions on Smart Grid
- Electric vehicle charging demand forecasting model based on big data technologies
- (2016) Mariz B. Arias et al. APPLIED ENERGY
- A data-driven approach for characterising the charging demand of electric vehicles: A UK case study
- (2016) Erotokritos Xydas et al. APPLIED ENERGY
- Study of a New Quick-Charging Strategy for Electric Vehicles in Highway Charging Stations
- (2016) Lixing Chen et al. Energies
- A Study on Price-Based Charging Strategy for Electric Vehicles on Expressways
- (2016) Lixing Chen et al. Energies
- Optimal charging scheduling for large-scale EV (electric vehicle) deployment based on the interaction of the smart-grid and intelligent-transport systems
- (2016) Yugong Luo et al. ENERGY
- Fast-charging station choice behavior among battery electric vehicle users
- (2016) Xiao-Hui Sun et al. TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
- Stochastic Modeling of Power Demand Due to EVs Using Copula
- (2012) Alicja Lojowska et al. IEEE TRANSACTIONS ON POWER SYSTEMS
Add 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 NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started