Transformer training strategies for forecasting multiple load time series
Transformer training strategies for forecasting multiple load time series
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Publisher
Cham: Springer International Publishing
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Language
English
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Publisher
Cham: Springer International Publishing
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Contents
In the smart grid of the future, accurate load forecasts on the level of individual clients can help to balance supply and demand locally and to prevent grid outages. While the number of monitored clients will increase with the ongoing smart meter rollout, the amount of data per client will always be limited. We evaluate whether a Transformer load...
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Full title
Transformer training strategies for forecasting multiple load time series
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TN_cdi_doaj_primary_oai_doaj_org_article_ac1d3b055e1641a6aa82f0c56bbac8fa
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ac1d3b055e1641a6aa82f0c56bbac8fa
Other Identifiers
ISSN
2520-8942
E-ISSN
2520-8942
DOI
10.1186/s42162-023-00278-z
