Intelligent Modeling for Streamflow Forecasting

In Brazil, power generation stems mostly from hydroelectric power plants and this is due to the available geographical conditions. For optimization purposes and economy of these resources, stream flows series forecast is a palpable alternative that helps in the planning of operations in hydroelectri...

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Veröffentlicht in:	Revista IEEE América Latina 2016-08, Vol.14 (8), p.3669-3677
Hauptverfasser:	Brito, B.O., Salgado, R.M., Beijo, L.A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptation models Biological system modeling Ensemble Forecasting Genetic Programming Hydroelectric plants Hydrologic models Neural Networks Power generation Power System Planning Predictive models RNA StreamFlow Forecasting Support vector machines
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