A data-driven geographic information system and machine learning based multi-criteria framework for strategic wind power plant siting.

Workineh TG, Worku GB, Singh SK, Dewangan LK, Mebrat HA, Zewdie TT

DOI: 10.1038/s41598-026-51265-9
Published: 2026 May 10
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-51265-9,
  title = {A data-driven geographic information system and machine learning based multi-criteria framework for strategic wind power plant siting.},
  author = {Workineh TG and Worku GB and Singh SK and Dewangan LK and Mebrat HA and Zewdie TT},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-51265-9},
  url = {https://doi.org/10.1038/s41598-026-51265-9}
}

RIS

TY  - JOUR
TI  - A data-driven geographic information system and machine learning based multi-criteria framework for strategic wind power plant siting.
AU  - Workineh TG
AU  - Worku GB
AU  - Singh SK
AU  - Dewangan LK
AU  - Mebrat HA
AU  - Zewdie TT
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-51265-9
UR  - https://doi.org/10.1038/s41598-026-51265-9
ER  -

APA

TG, W., GB, W., SK, S., LK, D., HA, M., & TT, Z. (2026). A data-driven geographic information system and machine learning based multi-criteria framework for strategic wind power plant siting.. Scientific reports. https://doi.org/10.1038/s41598-026-51265-9

Source records

pubmed · retrieved 2026-09-27T07:03:55.626Z