Bi-level deep reinforcement learning for PEV decision-making guidance by coordinating transportation-electrification coupled systems
The random charging and dynamic traveling behaviors of massive plug-in electric vehicles (PEVs) pose challenges to the efficient and safe operation of transportation-electrification coupled systems (TECSs). To realize real-time scheduling of urban PEV fleet charging demand, this paper proposes a PEV...
Main Authors: | Xing, Qiang, Chen, Zhong, Wang, Ruisheng, Zhang, Ziqi |
---|---|
Other Authors: | School of Electrical and Electronic Engineering |
Format: | Journal Article |
Language: | English |
Published: |
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/169372 |
Similar Items
-
Bi-level deep reinforcement learning for PEV decision-making guidance by coordinating transportation-electrification coupled systems
by: Qiang Xing, et al.
Published: (2023-01-01) -
Urban electrification - planning/
by: United Nations. Economic and Social Commission for Asia and the Pacific
Published: (1974) -
A modified rainbow-based deep reinforcement learning method for optimal scheduling of charging station
by: Wang, Ruisheng, et al.
Published: (2022) -
Rural electrification magazine
by: National Rural Electric Cooperative Association
Published: (1946) -
Rural electrification study Peninsular Malaysia /
by: Lembaga Letrik Negara Tanah Melayu