Development of MVMD-EO-LSTM Model for a Short-Term Photovoltaic Power Prediction
Development of MVMD-EO-LSTM Model for a Short-Term Photovoltaic Power Prediction
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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The accuracy and stability of short-term photovoltaic (PV) power prediction is crucial for power planning and dispatching in a grid system. For this reason, the multi-resolution variational modal decomposition (MVMD) method is proposed to achieve multi-scale input features mining for short-term PV power prediction. Here, the MVMD combined with Spea...
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Full title
Development of MVMD-EO-LSTM Model for a Short-Term Photovoltaic Power Prediction
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TN_cdi_doaj_primary_oai_doaj_org_article_322650189e124dbd922a92fcf5ad7ef0
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_322650189e124dbd922a92fcf5ad7ef0
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ISSN
1996-1073
E-ISSN
1996-1073
DOI
10.3390/en15197332
