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Frugal day-ahead forecasting of multiple local electricity loads by aggregating adaptive models

Frugal day-ahead forecasting of multiple local electricity loads by aggregating adaptive models

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_48aa87c7ddfe4b2eac82c048cf7a7c20

Frugal day-ahead forecasting of multiple local electricity loads by aggregating adaptive models

About this item

Full title

Frugal day-ahead forecasting of multiple local electricity loads by aggregating adaptive models

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2023-09, Vol.13 (1), p.15784-15784, Article 15784

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

This paper focuses on day-ahead electricity load forecasting for substations of the distribution network in France; therefore, the corresponding problem lies between the instability of a single consumption and the stability of a countrywide total demand. Moreover, this problem requires to forecast the loads of over one thousand substations; consequ...

Alternative Titles

Full title

Frugal day-ahead forecasting of multiple local electricity loads by aggregating adaptive models

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_48aa87c7ddfe4b2eac82c048cf7a7c20

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_48aa87c7ddfe4b2eac82c048cf7a7c20

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-023-42488-1

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