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Long-Short-Term Memory Network Based Hybrid Model for Short-Term Electrical Load Forecasting

Long-Short-Term Memory Network Based Hybrid Model for Short-Term Electrical Load Forecasting

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2075648c6039487f85591a3444d9a275

Long-Short-Term Memory Network Based Hybrid Model for Short-Term Electrical Load Forecasting

About this item

Full title

Long-Short-Term Memory Network Based Hybrid Model for Short-Term Electrical Load Forecasting

Publisher

Basel: MDPI AG

Journal title

Information (Basel), 2018-07, Vol.9 (7), p.165

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Short-term electrical load forecasting is of great significance to the safe operation, efficient management, and reasonable scheduling of the power grid. However, the electrical load can be affected by different kinds of external disturbances, thus, there exist high levels of uncertainties in the electrical load time series data. As a result, it is...

Alternative Titles

Full title

Long-Short-Term Memory Network Based Hybrid Model for Short-Term Electrical Load Forecasting

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_2075648c6039487f85591a3444d9a275

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2075648c6039487f85591a3444d9a275

Other Identifiers

ISSN

2078-2489

E-ISSN

2078-2489

DOI

10.3390/info9070165

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