Ara es mostren els items 1-20 de 32

    • 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
      Accés obert
      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 ...
    • 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)
      Text en actes de congrés
      Accés obert
      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 ...
    • A novel methodology for determination of soiling on PV panels by means of grey box modelling 

      Castellà Rodil, Marc; Patarroyo Montenegro, Juan; Kampouropoulos, Konstantinos; Andrade Rengifo, Fabio; Romeral Martínez, José Luis (2019)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      This article presents a novel methodology for the determination of soiling appearance on photovoltaic panels by means of data analysis of their energy production and operating conditions. The proposed methodology is based ...
    • Activity-aware HVAC power demand forecasting 

      Sala Cardoso, Enric; Delgado Prieto, Miquel; Kampouropoulos, Konstantinos; Romeral Martínez, José Luis (2018-07-01)
      Article
      Accés obert
      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) ...
    • 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'editorial
      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 ...
    • An optimal tracking power sharing controller for inverter-based generators in grid-connected mode 

      Patarroyo Montenegro, Juan; Castellà Rodil, Marc; Andrade Rengifo, Fabio; Kampouropoulos, Konstantinos; Romeral Martínez, José Luis; Vasquez-Plaza, Jesus D. (2019)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      In this work, an optimal power sharing controller for a three-phase Inverter-based Generator (IG) in a synchronous d-q reference frame is presented. The optimization of this controller is computed using a Linear-Quadratic ...
    • Energy crisis in Europe: the European Union’s objectives and countries’ policy trends—new transition paths? 

      Urbano González, Eva María; Kampouropoulos, Konstantinos; Romeral Martínez, José Luis (2023-08-01)
      Article
      Accés obert
      Amidst the ongoing European energy crisis, the EU has proposed a legislative package to enhance gas independence from Russia, diversify energy supplies, and increase renewable energy targets. However, the urgency for energy ...
    • Energy equipment sizing and operation optimisation for prosumer industrial SMEs – A lifetime approach 

      Urbano González, Eva María; Martínez Viol, Víctor; Kampouropoulos, Konstantinos; Romeral Martínez, José Luis (2021-07-02)
      Article
      Accés obert
      The market is searching for solutions to reduce emissions in the energy sector by increasing the consumer efficiency and flexibility and integrating renewable sources. Prosumers are suited to this role and are increasingly ...
    • Energy-Investment Decision-Making for Industry: Quantitative and Qualitative Risks Integrated Analysis 

      Urbano González, Eva María; Martínez Viol, Víctor; Kampouropoulos, Konstantinos; Romeral Martínez, José Luis (Multidisciplinary Digital Publishing Institute (MDPI), 2021-06-21)
      Article
      Accés obert
      Industrial SMEs may take the decision to invest in energy efficient equipment to reduce energy costs by replacing or upgrading their obsolete equipment or due to external socio-political and legislative pressures. When ...
    • Estudio de microgrids con interfases de convertidores de DC/AC 

      Andrade Rengifo, Fabio; Kampouropoulos, Konstantinos; Cusidó Roura, Jordi; Romeral Martínez, José Luis (2011)
      Text en actes de congrés
      Accés obert
      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)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      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 ...
    • Future European energy markets and Industry 4.0 potential in energy transition towards decarbonization 

      Urbano González, Eva María; Martínez Viol, Víctor; Kampouropoulos, Konstantinos; Romeral Martínez, José Luis (AEDERMACP (European Association for the Development of Renewable Energies and Power Quality), 2020)
      Text en actes de congrés
      Accés obert
      Climate change, economic growth and fossil fuel price volatility are forcing governments and thus society to adopt economical and technical measures in the energy sector to reach sustainability. These actions can be seen ...
    • IESD: Herramienta de optimización en rehabilitaciones energéticas de edificios no residenciales 

      Crespo Sánchez, Eva; Kampouropoulos, Konstantinos (Grupo Tecma Red, 2017)
      Comunicació de congrés
      Accés obert
      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)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      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)
      Tesi
      Accés obert
      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), 2018-05-01)
      Article
      Accés obert
      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)
      Text en actes de congrés
      Accés obert
      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 architectural strategies to support an nZEB Mediterranean school 

      Crespo Sánchez, Eva; Dacosta Díaz, Joan Ramon; Kampouropoulos, Konstantinos (Institute of Physics (IOP), 2019-09-01)
      Article
      Accés obert
      The Educational Department of Catalan Government has designed a new public school located at the center of Catalonia, in the town of Solsona. For this new construction model, they have set a main goal to minimize the energy ...
    • Novel architectural strategies to support an nZEB Mediterranean school 

      Crespo Sánchez, Eva; Dacosta Díaz, Joan Ramon; Kampouropoulos, Konstantinos (2019)
      Comunicació de congrés
      Accés obert
      The Educational Department of Catalan Government has designed a new public school located at the center of Catalonia, in the town of Solsona. For this new construction model, they have set a main goal to minimize the energy ...
    • 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)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      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, ...