A hierarchical neural model in short-term load forecasting.
dc.contributor.author | Carpinteiro, Otávio Augusto Salgado | |
dc.contributor.author | Reis, Agnaldo José da Rocha | |
dc.contributor.author | Silva, Alexandre Pinto Alves da | |
dc.date.accessioned | 2012-06-19T12:30:20Z | |
dc.date.available | 2012-06-19T12:30:20Z | |
dc.date.issued | 2004 | |
dc.description.abstract | This paper proposes a novel neural model to the problem of short-term load forecasting (STLF). The neural model is made up of two self-organizing map (SOM) 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 on load data extracted from a Brazilian electric utility, and compared to a multilayer perceptron (MLP) load forecaster. It was required to predict once every hour the electric load during the next 24 h. The paper presents the results, the conclusions, and points out some directions for future work. | pt_BR |
dc.identifier.citation | CARPINTEIRO, O. A. S.; REIS, A. J. R.; SILVA, A, P. A. A hierarchical neural model in short-term load forecasting. Applied Soft Computing, v. 4, n. 4, p. 405-412, set. 2004. Disponível em: <https://www.sciencedirect.com/science/article/pii/S156849460400050X>. Acesso em: 19 jun. 2012. | pt_BR |
dc.identifier.issn | 15684946 | |
dc.identifier.uri | http://www.repositorio.ufop.br/handle/123456789/877 | |
dc.language.iso | en_US | pt_BR |
dc.rights.license | O Periódico Applied Soft Computing concede permissão para depósito do artigo no Repositório Institucional da UFOP. Número da licença: 3291280500461. | |
dc.subject | Short-term load forecasting | pt_BR |
dc.subject | Self-organizing map | pt_BR |
dc.subject | Neural network | pt_BR |
dc.title | A hierarchical neural model in short-term load forecasting. | pt_BR |
dc.type | Artigo publicado em periodico | pt_BR |
Arquivos
Pacote Original
1 - 1 de 1
Nenhuma Miniatura disponível
- Nome:
- ARTIGO_HierarchicalNeuralModel.pdf
- Tamanho:
- 109.76 KB
- Formato:
- Adobe Portable Document Format
Licença do Pacote
1 - 1 de 1
Nenhuma Miniatura disponível
- Nome:
- license.txt
- Tamanho:
- 1.71 KB
- Formato:
- Item-specific license agreed upon to submission
- Descrição: