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A Two-Stage Short-Term Load Forecasting Method Using Long Short-Term Memory and Multilayer Perceptro...

A Two-Stage Short-Term Load Forecasting Method Using Long Short-Term Memory and Multilayer Perceptro...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d7d9d4bea0eb42feb85b7291657effd6

A Two-Stage Short-Term Load Forecasting Method Using Long Short-Term Memory and Multilayer Perceptron

About this item

Full title

A Two-Stage Short-Term Load Forecasting Method Using Long Short-Term Memory and Multilayer Perceptron

Publisher

Basel: MDPI AG

Journal title

Energies (Basel), 2021-09, Vol.14 (18), p.5873

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Load forecasting is an essential task in the operation management of a power system. Electric power companies utilize short-term load forecasting (STLF) technology to make reasonable power generation plans. A forecasting model with low prediction errors helps reduce operating costs and risks for the operators. In recent years, machine learning has...

Alternative Titles

Full title

A Two-Stage Short-Term Load Forecasting Method Using Long Short-Term Memory and Multilayer Perceptron

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_d7d9d4bea0eb42feb85b7291657effd6

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d7d9d4bea0eb42feb85b7291657effd6

Other Identifiers

ISSN

1996-1073

E-ISSN

1996-1073

DOI

10.3390/en14185873

How to access this item