2022
DOI: 10.1016/j.apenergy.2022.119318
|View full text |Cite
|
Sign up to set email alerts
|

Deep learning-based scheduling of virtual energy hubs with plug-in hybrid compressed natural gas-electric vehicles

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
1
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 9 publications
(1 citation statement)
references
References 40 publications
0
1
0
Order By: Relevance
“…EVs can purchase and sell power from/ to the grid, which has a significant impact on transmission systems which is relatively investigated to their penetration level [10]. The challenges of exploiting and serving this dynamic ESS are crucial in EH due to its high penetration alongside RE [11]. Electric vehicle parking lots (EVPL) can easily coordinate and collaborate with the independent facility of EH in a decentralized framework to enhance economic goals [12].…”
mentioning
confidence: 99%
“…EVs can purchase and sell power from/ to the grid, which has a significant impact on transmission systems which is relatively investigated to their penetration level [10]. The challenges of exploiting and serving this dynamic ESS are crucial in EH due to its high penetration alongside RE [11]. Electric vehicle parking lots (EVPL) can easily coordinate and collaborate with the independent facility of EH in a decentralized framework to enhance economic goals [12].…”
mentioning
confidence: 99%