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Ara es mostren els items 14-32 de 32

    • 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, ...

    • Novel methodology towards a deep retrofit in Mediterranean schools of climatic zones: C2, D3, D2, E1 

      Crespo Sánchez, Eva; Dacosta Díaz, Joan Ramon; Kampouropoulos, Konstantinos (Universidad de Cantabria, 2020)
      Comunicació de congrés
      Accés restringit per política de l'editorial
      En base a los trabajos realizados de este estudio, los cuales se describen en detalle a continuación, cabe destacar algunas conclusiones que están relacionadas con las estrategias pasivas: (1) la reducción de la demanda ...

    • 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)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      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 ...

    • Predictive chiller operation: a data-driven loading and scheduling approach 

      Sala Cardoso, Enric; Delgado Prieto, Miquel; Kampouropoulos, Konstantinos; Romeral Martínez, José Luis (2019-01-01)
      Article
      Accés obert
      The proper sequencing and optimal loading of chillers is one of the major avenues for energy efficiency improvement in existing heating, ventilating and air conditioning installations. The main enabler for the success of ...

    • Quantitative and qualitative risk-informed energy investment for industrial companies 

      Urbano González, Eva María; Martínez Viol, Víctor; Kampouropoulos, Konstantinos; Romeral Martínez, José Luis (Elsevier, 2023-12)
      Article
      Accés obert
      In the ongoing energy transition, small and medium-sized industrial companies are making energy equipment investments due to the obsolescence of their current equipment as well as social, political and market pressures. ...

    • Risk assessment of energy investment in the industrial framework – Uncertainty and Sensitivity analysis for energy design and operation optimisation 

      Urbano González, Eva María; Martínez Viol, Víctor; Kampouropoulos, Konstantinos; Romeral Martínez, José Luis (2021-09)
      Article
      Accés obert
      The industry is a crucial actor towards the energy transition with the possibility to adopt new energy strategies including a prosumer model. However, industries are struggling to adopt smart energy approaches, and initiatives ...

    • 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'editorial
      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)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      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
      Accés restringit per política de l'editorial
      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)
      Text en actes de congrés
      Accés obert
      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 ...

    • Supervision and fault detection system for photovoltaic installations based on classification algorithms 

      Castellà Rodil, Marc; Kampouropoulos, Konstantinos; Urbano González, Eva María; Romeral Martínez, José Luis (2020)
      Text en actes de congrés
      Accés obert
      This article presents a methodology for the supervision and fault detection on photovoltaic installation, through the information gathered by their SCADA system. The proposed methodology consists of the use of a multi-clustering ...

    • Support vector machine based novelty detection and FDD framework applied to building AHU systems 

      Martínez Viol, Víctor; Martínez Viol, Víctor; Urbano González, Eva María; Urbano González, Eva María; Kampouropoulos, Konstantinos; Kampouropoulos, Konstantinos; Delgado Prieto, Miquel; Delgado Prieto, Miquel; Romeral Martínez, José Luis; Romeral Martínez, José Luis (Institute of Electrical and Electronics Engineers (IEEE), 2020)
      Text en actes de congrés
      Accés obert
      The increasing energy consumption of heating, ventilation and air conditioning (HVAC) systems is one of the main concerns in the building sector. Fault detection technologies are now indispensable for energy efficiency and ...

    • Uncertainty analysis for industries investing in energy equipment and renewable energy sources 

      Urbano González, Eva María; González Abreu, Artvin Darién; Kampouropoulos, Konstantinos; Romeral Martínez, José Luis (2021)
      Text en actes de congrés
      Accés obert
      This paper studies the optimal design and operation of new energy equipment including renewable energy sources for prosumer industries. In order to augment the interest of industries in performing energy actions, the ...