Um framework para a previsão de cenários com o uso de sistemas híbridos neurogenéticos para compra e venda de energia elétrica no mercado futuro
In the context of time series forecasting, is great the interest in studies of forecasting methods of time series that can identify existing structures and patterns in historical data, allowing generate the next patterns of the series. The proposal defended in this thesis is the development of a...
| Autor principal: | CONDE, Guilherme Augusto Barros |
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| Grau: | Tese |
| Idioma: | por |
| Publicado em: |
Universidade Federal do Pará
2014
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| Assuntos: | |
| Acesso em linha: |
http://repositorio.ufpa.br/jspui/handle/2011/4598 |
| Resumo: |
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In the context of time series forecasting, is great the interest in studies of forecasting methods
of time series that can identify existing structures and patterns in historical data, allowing
generate the next patterns of the series. The proposal defended in this thesis is the
development of a framework that uses the full potential of forecasting techniques (neural
networks) with the optimization techniques (genetic algorithms) in a hybrid system that well
enjoy the advantages of each of these techniques to the generation of future scenarios that can
show, in aaddition to normal forecasts based on historical values, alternative pathways of the
curves of time series analyzed. |