Exploració per autor "Giacometto Torres, Francisco"
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Adaptive load consumption modelling on the user side: contributions to load forecasting modelling based on supervised mixture of experts and genetic programming
Giacometto Torres, Francisco (Universitat Politècnica de Catalunya, 2017-07-25)
Tesi
Accés obertThis research work proposes three main contributions on the load forecasting field: the enhancement of the forecasting accuracy, the enhancement of the model adaptiveness, and the automatization on the execution of the ... -
An energy prediction method using adaptive Neuro-Fuzzy Inference System and Genetic Algorithms
Kampouropoulos, Konstantinos; Cárdenas Araújo, Juan José; Giacometto Torres, Francisco; Romeral Martínez, José Luis (2013)
Text en actes de congrés
Accés restringit per política de l'editorialThis document presents an energy forecast methodology using Adaptive Neuro-Fuzzy Inference System (ANFIS) and Genetic Algorithms (GA). The GA has been used for the selection of the training inputs of the ANFIS in order to ... -
Load forecasting in the user side using wavelet-ANFIS
Giacometto Torres, Francisco; Cárdenas Araújo, Juan José; Kampouropoulos, Konstantinos; Romeral Martínez, José Luis (2012)
Text en actes de congrés
Accés restringit per política de l'editorialAt present, the intelligent energy management systems (IEMS) are used to maximiz the relation between productivity and cost using a variety of energy sources. Tn this work, we present a meth ... -
Short-Term load forecasting using cartesian genetic programming: an efficient evolutive strategy case: Australian electricity market
Giacometto Torres, Francisco; Kampouropoulos, Konstantinos; Romeral Martínez, José Luis (2015)
Text en actes de congrés
Accés restringit per política de l'editorialCurrently, the Cartesian Genetic Programming approaches applied to regression problems tackle the evolutive strategy from a static point of view. They are confident on the evolving capacity ... -
Smart multi-model approach based on adaptive neuro-fuzzy inference systems and genetic algorithms
Sala Cardoso, Enric; Kampouropoulos, Konstantinos; Giacometto Torres, Francisco; Romeral Martínez, José Luis (2014)
Text en actes de congrés
Accés restringit per política de l'editorialA model of power demand represents the foundation of any intelligent Energy Management System, and its accuracy is the key factor determining the performance of such system. In order to improve the accuracy of the modeling ... -
STLF in the user-side for an iEMS based on evolutionary training of adaptive networks
Cárdenas Araújo, Juan José; Giacometto Torres, Francisco; García Espinosa, Antonio; Romeral Martínez, José Luis (2012)
Text en actes de congrés
Accés restringit per política de l'editorialIt is a fact that the short-term load forecasting (STLF)in the user side is growing interest. Consequently, intelligent energy management systems (iEMSs) are including this capability in order to take autonomous decisions. ...