Using conditional Invertible Neural Networks to perform mid‐term peak load forecasting
Using conditional Invertible Neural Networks to perform mid‐term peak load forecasting
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Publisher
John Wiley & Sons, Inc
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Language
English
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John Wiley & Sons, Inc
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Measures for balancing the electrical grid, such as peak shaving, require accurate peak forecasts for lower aggregation levels of electrical loads. Thus, the Big Data Energy Analytics Laboratory (BigDEAL) challenge—organised by the BigDEAL—focused on forecasting three different daily peak characteristics in low aggregated load time series. In parti...
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Full title
Using conditional Invertible Neural Networks to perform mid‐term peak load forecasting
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TN_cdi_doaj_primary_oai_doaj_org_article_9e2850e66e7e44ed907abc76778aa4cf
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9e2850e66e7e44ed907abc76778aa4cf
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ISSN
2515-2947
E-ISSN
2515-2947
DOI
10.1049/stg2.12169
