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Prediction and Evaluation of Electricity Price in Restructured Power Systems Using Gaussian Process...

Prediction and Evaluation of Electricity Price in Restructured Power Systems Using Gaussian Process...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f080fc8ed35d4732b09f1ec69c861270

Prediction and Evaluation of Electricity Price in Restructured Power Systems Using Gaussian Process Time Series Modeling

About this item

Full title

Prediction and Evaluation of Electricity Price in Restructured Power Systems Using Gaussian Process Time Series Modeling

Publisher

Basel: MDPI AG

Journal title

Smart Cities, 2022-08, Vol.5 (3), p.889-923

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

The electricity market is particularly complex due to the different arrangements and structures of its participants. If the energy price in this market presents in a conceptual and well-known way, the complexity of the market will be greatly reduced. Drastic changes in the supply and demand markets are a challenge for electricity prices (EPs), whic...

Alternative Titles

Full title

Prediction and Evaluation of Electricity Price in Restructured Power Systems Using Gaussian Process Time Series Modeling

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_f080fc8ed35d4732b09f1ec69c861270

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f080fc8ed35d4732b09f1ec69c861270

Other Identifiers

ISSN

2624-6511

E-ISSN

2624-6511

DOI

10.3390/smartcities5030045

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