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http://www.repositorio.ufop.br/jspui/handle/123456789/1190| Título : | A hierarchical self-organizing map model in short-termload forecasting. |
| Autor : | Carpinteiro, Otávio Augusto Salgado Reis, Agnaldo José da Rocha |
| Palabras clave : | Short-term load forecasting Self-organizing map Neural network |
| Fecha de publicación : | 2004 |
| Citación : | CARPINTEIRO, O. A. S.; REIS, A. J. da R. A hierarchical self-organizing map model in short-termload forecasting. In: Congresso Brasileiro de Automática, 15., 2004. Gramado. Anais... XV Congresso Brasileiro de Automática, 2004. p.1-6. Disponível em: <http://www.lti.pcs.usp.br/robotics/grva/publicacoes/outras/cba2004-cd-rom/cba2004/pdf/548.pdf>. Acesso em: 23 jul. 2012. |
| Resumen : | This paper proposes a novel neural model to the problem of short-term load forecasting. The neural model is made up of two self-organizing map nets|one on top of the other. It has been successfully applied to domains in which the context information given by former events plays a primary role. The model was trained and assessed on load data extracted from a Brazilian electric utility. It was required to predict once every hour the electric load during the next 24 hours. The paper presents the results, and evaluates them |
| URI : | http://www.repositorio.ufop.br/handle/123456789/1190 |
| Aparece en las colecciones: | DECAT - Trabalhos apresentados em eventos |
Ficheros en este ítem:
| Fichero | Descripción | Tamaño | Formato | |
|---|---|---|---|---|
| EVENTO_HierarchicalSelfOrganizing.pdf | 175,99 kB | Adobe PDF | Visualizar/Abrir |
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