Now showing items 1-5 of 5

    • Evaluation of the end-of-life of electric vehicle batteries according to the state-of-health 

      Canals Casals, Lluc; Rodríguez-Rey Gómez, Marta; Corchero García, Cristina; Carrillo, Rafael E. (2019-12-01)
      Article
      Open Access
      As a result of monitoring thousands of electric vehicle charges around Europe, this study builds statistical distributions that model the amount of energy necessary for trips between charges, showing that most of trips are ...
    • Evaluation of the end-of-life of electric vehicles according to the state-of-health 

      Canals Casals, Lluc; Rodriguez, Marta; Corchero García, Cristina; Carrillo, Rafael E. (2019)
      Conference report
      Open Access
      As a result of monitoring thousands of electric vehicle charges around Europe, this study builds statistical distributions that model the amount of energy necessary for trips between charges, showing that most of trips are ...
    • How building and district algorithms enhance renewable energy integration in energy markets 

      Canals Casals, Lluc; Corchero García, Cristina; Ortiz, Joana; Salom, Jaume; Cardoner, David; Igualada González, Lucía; Carrillo, Rafael E.; Stauffer, Yves (2019)
      Conference report
      Open Access
      This study shows the results of the SABINA H2020 project, which analyzes the effect of two level optimization algorithms to increase the consumption of renewable power sources and reduce greenhouse gas emissions. First, ...
    • Management and activation of energy flexibility at building and market level: a residential case study 

      Carrillo, Rafael E.; Canals Casals, Lluc; Stauffer, Yves; Corchero García, Cristina; Salom, Jaume (2020-03-01)
      Article
      Open Access
      The electricity sector foresees a significant change in the way energy is generated and distributed in the coming years. With the increasing penetration of renewable energy sources, smart algorithms can determine the ...
    • State-space models for building control: how deep should you go? 

      Schubnel, Baptiste; Carrillo, Rafael E.; Taddeo, Paolo; Canals Casals, Lluc; Salom, Jaume; Stauffer, Yves (2020-09-14)
      Article
      Open Access
      Power consumption in buildings show nonlinear behaviours that linear models cannot capture, whereas recurrent neural networks (RNNs) can. This ability makes RNNs attractive alternatives for the model-predictive control ...