Novel gooseneck barnacle optimization a nature inspired technique for optimizing reactive power within systems of power with electric vehicles.

Zhuang J, Wang C, Cheng Q, Nourmohammadi S, Alnowibet KA

Open source

DOI
10.1038/s41598-025-90178-x
Published
2025 Feb 21
Container
Scientific reports
Publisher
Not recorded
Open access
yes

Credibility signals

serious concern Score 10/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1038/s41598-025-90178-x,
  title = {Novel gooseneck barnacle optimization a nature inspired technique for optimizing reactive power within systems of power with electric vehicles.},
  author = {Zhuang J and Wang C and Cheng Q and Nourmohammadi S and Alnowibet KA},
  year = {2025},
  journal = {Scientific reports},
  doi = {10.1038/s41598-025-90178-x},
  url = {https://doi.org/10.1038/s41598-025-90178-x}
}

RIS

TY  - JOUR
TI  - Novel gooseneck barnacle optimization a nature inspired technique for optimizing reactive power within systems of power with electric vehicles.
AU  - Zhuang J
AU  - Wang C
AU  - Cheng Q
AU  - Nourmohammadi S
AU  - Alnowibet KA
PY  - 2025
JO  - Scientific reports
DO  - 10.1038/s41598-025-90178-x
UR  - https://doi.org/10.1038/s41598-025-90178-x
ER  - 

APA

J, Z., C, W., Q, C., S, N., & KA, A. (2025). Novel gooseneck barnacle optimization a nature inspired technique for optimizing reactive power within systems of power with electric vehicles.. Scientific reports. https://doi.org/10.1038/s41598-025-90178-x

Source records