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Short-Term Load Forecasting of Electricity Demand for the Residential Sector Based on Modelling Tech...

Short-Term Load Forecasting of Electricity Demand for the Residential Sector Based on Modelling Tech...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e10a7d74ab5241c3bebedac0aca7a4f8

Short-Term Load Forecasting of Electricity Demand for the Residential Sector Based on Modelling Techniques: A Systematic Review

About this item

Full title

Short-Term Load Forecasting of Electricity Demand for the Residential Sector Based on Modelling Techniques: A Systematic Review

Publisher

Basel: MDPI AG

Journal title

Energies (Basel), 2023-05, Vol.16 (10), p.4098

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

In this paper, a systematic literature review is presented, through a survey of the main digital databases, regarding modelling methods for Short-Term Load Forecasting (STLF) for hourly electricity demand for residential electricity and to realize the performance evolution and impact of Artificial Intelligence (AI) in STLF. With these specific obje...

Alternative Titles

Full title

Short-Term Load Forecasting of Electricity Demand for the Residential Sector Based on Modelling Techniques: A Systematic Review

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_e10a7d74ab5241c3bebedac0aca7a4f8

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e10a7d74ab5241c3bebedac0aca7a4f8

Other Identifiers

ISSN

1996-1073

E-ISSN

1996-1073

DOI

10.3390/en16104098

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