Rubén García-Pajares

CARTIF · Energy Division

The current cities’ urban challenges go through digitalization and integration of new technologies under the perspective of actual and future ecological, as well as socio-economic commitments. This process is translated into the Open Standardized Urban Data Platform, which plays a pivotal role. Within its main functionalities, data ingestion, analy...

Global acceptance and demand for urban digitization to solve current and future ecological and socio-economic challenges is increasing. Technically, the Smart City concept integrates different vertical domains and uses an Open Standardized Urban Platform (OSUP) as a horizontal integration layer. In this sense, urban platforms play an important role...

Districts can be considered as a system of complex interconnections, interactions, relationships and flows. Therefore, a comprehensive approach is essential for effective decision-making with regards to energy efficiency improvement. When addressing interventions with a wider scale, the range of possible interventions is greater, as well as the pos...

This paper aims at describing the methodology implemented in the REMOURBAN (REgeneration MOdel for accelerating the smart URBAN transformation) project for the characterization of European middle size cities which allows identifying their potential characteristics and adverse conditions as starting point for addressing their sustainable urban trans...

Although the concept of nearly Zero Energy Building is well established among the new Buildings sector, in retrofitting processes it is necessary to think about integrated solutions at district level, leading to the new concept of nearly Zero Energy Districts. By following this new approach, the spectrum of Energy Conservation Measures (ECMs) tha c...

The main objective of “time series analysis” is to discover the underlying structure of the time series, and thus, become able to forecast its “future values”. This process makes it possible to predict, control or simulate variables. Most of the time series modelling procedures try to forecast future values from lagged ones. Thus, the selection of...

The integration of feature selection techniques within the modeling process of a time series forecaster can improve dealing with some usual important problems in this type of tasks, such as noise reduction, the curse of dimensionality and reducing the complexity of both the problem and the solution. In this paper we show how a convenient combinatio...