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Implications of Machine Learning in the Generation of Renewable Energies in Latin America from a Glo...

Implications of Machine Learning in the Generation of Renewable Energies in Latin America from a Glo...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_af39250e421d4c518815103b9a2057d8

Implications of Machine Learning in the Generation of Renewable Energies in Latin America from a Globalized Vision: A Systematic Review

About this item

Full title

Implications of Machine Learning in the Generation of Renewable Energies in Latin America from a Globalized Vision: A Systematic Review

Publisher

Mersin: EconJournals

Journal title

International journal of energy economics and policy, 2024-03, Vol.14 (2), p.1-10

Language

English

Formats

Publication information

Publisher

Mersin: EconJournals

More information

Scope and Contents

Contents

The global energy industry fundamentally transformed towards renewable energy sources, driven by the sustainability paradigm. This shift was crucial in addressing the challenges of climate change and resource scarcity. Machine Learning (ML) played a pivotal role in enhancing the efficiency and reliability of renewable energy systems. This study con...

Alternative Titles

Full title

Implications of Machine Learning in the Generation of Renewable Energies in Latin America from a Globalized Vision: A Systematic Review

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_af39250e421d4c518815103b9a2057d8

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_af39250e421d4c518815103b9a2057d8

Other Identifiers

ISSN

2146-4553

E-ISSN

2146-4553

DOI

10.32479/ijeep.15301

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