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Day-Ahead Electricity Price Probabilistic Forecasting Based on SHAP Feature Selection and LSTNet Qua...

Day-Ahead Electricity Price Probabilistic Forecasting Based on SHAP Feature Selection and LSTNet Qua...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_25a26af7755a460896ec5211474da1ca

Day-Ahead Electricity Price Probabilistic Forecasting Based on SHAP Feature Selection and LSTNet Quantile Regression

About this item

Full title

Day-Ahead Electricity Price Probabilistic Forecasting Based on SHAP Feature Selection and LSTNet Quantile Regression

Publisher

Basel: MDPI AG

Journal title

Energies (Basel), 2023-07, Vol.16 (13), p.5152

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Electricity prices are a central element of the electricity market, and accurate electricity price forecasting is critical for market participants. However, in the context of increasingly integrated economic markets, the complexity of the electricity system has increased. As a result, the number of factors required to consider in electricity price...

Alternative Titles

Full title

Day-Ahead Electricity Price Probabilistic Forecasting Based on SHAP Feature Selection and LSTNet Quantile Regression

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_25a26af7755a460896ec5211474da1ca

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_25a26af7755a460896ec5211474da1ca

Other Identifiers

ISSN

1996-1073

E-ISSN

1996-1073

DOI

10.3390/en16135152

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