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Mostrando ítems 1-3 de 3

Electrical consumption forecast using actual data of building end-use decomposition

Escrivá Escrivá, Guillermo; Roldán Blay, Carlos; Álvarez Bel, Carlos María (Elsevier, 2014-10)

The calculation of electricity consumption forecast a few days ahead is a complex issue and studies about this matter are continually being performed. Advances in this field enable obtaining consumption forecasts increasingly ...
New artificial neural network prediction method for electrical consumption forecasting based on building end-uses

Escrivá-Escrivá, Guillermo; Álvarez Bel, Carlos María; Roldán Blay, Carlos; Alcázar-Ortega, Manuel (Elsevier, 2011-11)

Due to the current high energy prices it is essential to find ways to take advantage of new energy resources and enable consumers to better understand their load curve. This understanding will help to improve customer ...
Upgrade of an artificial neural network prediction method for electrical consumption forecasting using an hourly temperature curve model

Roldán Blay, Carlos; Escrivá-Escrivá, Guillermo; Álvarez Bel, Carlos María; Roldán Porta, Carlos; Rodriguez-Garcia, Javier (Elsevier, 2013-05)

This paper presents the upgrading of a method for predicting short-term building energy consumption that was previously developed by the authors (EUs method). The upgrade uses a time temperature curve (TTC) forecast model. ...

Mostrando ítems 1-3 de 3