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A wind power plant site selection algorithm based on q-rung orthopair hesitant fuzzy rough Einstein...

A wind power plant site selection algorithm based on q-rung orthopair hesitant fuzzy rough Einstein...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5f5bd602c1e0422aad79db0405e5098d

A wind power plant site selection algorithm based on q-rung orthopair hesitant fuzzy rough Einstein aggregation information

About this item

Full title

A wind power plant site selection algorithm based on q-rung orthopair hesitant fuzzy rough Einstein aggregation information

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2022-03, Vol.12 (1), p.5443-5443, Article 5443

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Wind power is often recognized as one of the best clean energy solutions due to its widespread availability, low environmental impact, and great cost-effectiveness. The successful design of optimal wind power sites to create power is one of the most vital concerns in the exploitation of wind farms. Wind energy site selection is determined by the ru...

Alternative Titles

Full title

A wind power plant site selection algorithm based on q-rung orthopair hesitant fuzzy rough Einstein aggregation information

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_5f5bd602c1e0422aad79db0405e5098d

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5f5bd602c1e0422aad79db0405e5098d

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-022-09323-5

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