Now showing items 1-17 of 17

  • A combined methodology of adaptive neuro-fuzzy inference system and genetic algorithm for short-term energy forecasting 

    Kampouropoulos, Konstantinos; Andrade Rengifo, Fabio; García Espinosa, Antonio; Romeral Martínez, José Luis (2014-02)
    Article
    Open Access
    This 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 ...
  • Activity-aware HVAC power demand forecasting 

    Sala Cardoso, Enric; Delgado Prieto, Miquel; Kampouropoulos, Konstantinos; Romeral Martínez, José Luis (2018-07-01)
    Article
    Restricted access - publisher's policy
    The forecasting of the thermal power demand is essential to support the development of advanced strategies for the management of local resources on the consumer side, such as heating ventilation and air conditioning (HVAC) ...
  • A methodology for energy prediction and optimization of a system based on the Energy Hub Concept using Particle Swarms 

    Kampouropoulos, Konstantinos; Andrade, Fabio; Cárdenas Araújo, Juan José; Romeral Martínez, José Luis (2012)
    Conference report
    Open Access
    In this paper, a methodology for the energy prediction for the different consumptions of a system based in the Energy Hub concept is presented. The methodology that has been used for the energy prediction is based on an ...
  • 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)
    Conference report
    Restricted access - publisher's policy
    This 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 ...
  • Estudio de microgrids con interfases de convertidores de DC/AC 

    Andrade Rengifo, Fabio; Kampouropoulos, Konstantinos; Cusidó Roura, Jordi; Romeral Martínez, José Luis (2011)
    Conference report
    Open Access
    Este artículo presenta un estudio de Microgrids con interfases de convertidores DC/AC. El artículo muestra los modos de operación de las Microgrids, además implementa un modelo de pequeña señal para el modo de operación ...
  • Evolutive ANFIS training for energy load profile forecast for an IEMS in an automated factory 

    Cárdenas Araújo, Juan José; García Espinosa, Antonio; Romeral Martínez, José Luis; Kampouropoulos, Konstantinos (2011)
    Conference report
    Restricted access - publisher's policy
    In this paper an evolutive algorithm is used to train an adaptative-network-based fuzzy inference system (ANFIS), particularly a genetic algorithm (GA). The GA is able to train the antecedent and consequent parameters of ...
  • IESD: Herramienta de optimización en rehabilitaciones energéticas de edificios no residenciales 

    Crespo Sánchez, Eva; Kampouropoulos, Konstantinos (Grupo Tecma Red, 2017)
    Conference lecture
    Open Access
    El iESD es una herramienta software basada en una metodología novedosa que tiene por objetivo facilitar la toma de decisiones técnicas en la fase de pre diseño de rehabilitaciones energéticas en edificios no residenciales, ...
  • Load forecasting in the user side using wavelet-ANFIS 

    Giacometto Torres, Francisco; Cárdenas Araújo, Juan José; Kampouropoulos, Konstantinos; Romeral Martínez, José Luis (2012)
    Conference report
    Restricted access - publisher's policy
    At 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 ...
  • Multi-objective optimization of an energy hub using artificial intelligence 

    Kampouropoulos, Konstantinos (Universitat Politècnica de Catalunya, 2018-04-20)
    Doctoral thesis
    Open Access
    The present dissertation is focused on the energy optimization of systems which contain multiple energy carriers. The objective of the research is the development of a methodology and the corresponding software tools, which ...
  • Multiobjective optimization of multi-carrier energy system using a combination of ANFIS and genetic algorithms 

    Kampouropoulos, Konstantinos; Andrade, Fabio; Sala Cardoso, Enric; García Espinosa, Antonio; Romeral Martínez, José Luis (Institute of Electrical and Electronics Engineers (IEEE), 2016-09-14)
    Article
    Open Access
    This paper presents a novel method for the energy optimization of multi-carrier energy systems. The presented method combines an adaptive neuro-fuzzy inference system, to model and forecast the power demand of a plant, and ...
  • New mathematical model of an inverter-based generator for stability studies of microgrid Systems 

    Andrade Rengifo, Fabio; Romeral Martínez, José Luis; Kampouropoulos, Konstantinos; Cusidó Roura, Jordi (2013)
    Conference report
    Open Access
    A new mathematical model of a renewable generator, with a DC-AC interface, based on the concept of electrostatic machine is presented. This new model has a direct relationship between the DC and AC side. Moreover, it can ...
  • Novel methodology for the optimization of the retrofitting 

    Kampouropoulos, Konstantinos; Crespo Sánchez, Eva; Macià, Jordi; Cases Fabregas, Laia; Castellà Rodil, Marc (Passive House Institute, 2018)
    Conference report
    Restricted access - publisher's policy
    This paper aims to present a novel methodology that permits to determine the optimal retrofitting actions to be implemented in a given building of the tertiary sector, based on its architectonic characteristics (e.g. volume, ...
  • Optimal control of energy hub systems by use of SQP algorithm and energy prediction 

    Kampouropoulos, Konstantinos; Sala Cardoso, Enric; Andrade, Fabio; Romeral Martínez, José Luis (2014)
    Conference report
    Restricted access - publisher's policy
    This paper presents an energy optimization methodology applied on industrial plants with multiple energy carriers. The methodology combines an adaptive neuro-fuzzy inference system to calculate the short-term load forecasting ...
  • 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)
    Conference report
    Restricted access - publisher's policy
    Currently, 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)
    Conference report
    Restricted access - publisher's policy
    A 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 ...
  • Stability analysis of a microgrid system based on inverter-interfaced distributed generators 

    Andrade Rengifo, Fabio; Kampouropoulos, Konstantinos; Cusidó Roura, Jordi; Romeral Martínez, José Luis (2013)
    Article
    Restricted access - publisher's policy
    This paper presents a phase-plane trajectory analysis and the appliance of Lyapunov´s methodology to evaluate the stability limits of a small signal model of a Microgrid system. The work done is based on a non-linear tool ...
  • Study of large-signal stability of an inverter-based generator using a Lyapunov function 

    Andrade, Fabio; Kampouropoulos, Konstantinos; Romeral Martínez, José Luis; Vasquez Quintero, Juan Carlos; Guerrero, Josep M. (2014)
    Conference report
    Open Access
    This document analyses the large-signal stability for an inverter-based generator such as photovoltaic and wind power sources. The objective of this study is to determine the stability region taking into account the ...