BiGRU-CNN neural network applied to short-term electric load forecasting
Paper aims This study analyzed the feasibility of the BiGRU-CNN artificial neural network as a forecasting tool for short-term electric load. This forecasting model can serve as a support tool related to decision-making by companies in the energy sector.Originality Despite a large amount of scientif...
Kaydedildi:
| Yayımlandı: | Production |
|---|---|
| Asıl Yazarlar: | , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Associação Brasileira de Engenharia de Produção
2022
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| Konular: | |
| Online Erişim: | https://www.redalyc.org/articulo.oa?id=396769689001 https://www.redalyc.org/journal/3967/396769689001/ https://www.redalyc.org/journal/3967/396769689001/html/ https://www.redalyc.org/journal/3967/396769689001/396769689001.epub https://www.redalyc.org/journal/3967/396769689001/movil |
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