Data-Driven EV Load Profiles Generation Using a Variational Auto-Encoder
Although the penetration of electric vehicles (EVs) in distribution networks can improve the energy saving and emission reduction effects, its random and uncertain nature limits the ability of distribution networks to accept the load of EVs. To this end, establishing a load profile model of EV charg...
Main Authors: | Zhixin Pan, Jianming Wang, Wenlong Liao, Haiwen Chen, Dong Yuan, Weiping Zhu, Xin Fang, Zhen Zhu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-03-01
|
Series: | Energies |
Subjects: | |
Online Access: | http://www.mdpi.com/1996-1073/12/5/849 |
Similar Items
-
Data Augmentation for Electricity Theft Detection Using Conditional Variational Auto-Encoder
by: Xuejiao Gong, et al.
Published: (2020-08-01) -
Collision Localization and Classification on the End-Effector of a Cable-Driven Manipulator Applied to EV Auto-Charging Based on DCNN–SVM
by: Di, S., et al.
Published: (2022) -
Robust Auto-encoders
by: Zhou, Chong
Published: (2016) -
Structural Adversarial Variational Auto-Encoder for Attributed Network Embedding
by: Junjian Zhan, et al.
Published: (2021-03-01) -
Short-Term Forecasting of Photovoltaic Solar Power Production Using Variational Auto-Encoder Driven Deep Learning Approach
by: Abdelkader Dairi, et al.
Published: (2020-11-01)