Ponències/Comunicacions de congressos
http://hdl.handle.net/2117/3944
Wed, 25 May 2016 23:21:04 GMT
20160525T23:21:04Z

A stochastic programming model for the tertiary control of microgrids
http://hdl.handle.net/2117/87023
A stochastic programming model for the tertiary control of microgrids
Citores, Leire; Corchero García, Cristina; Heredia, F.Javier (Francisco Javier)
In this work a scenariobased twostage stochastic programming model is proposed to solve a microgrid’s tertiary control optimization problem taking into account some renewable energy resource’s uncertainty as well as uncertain energy deviation prices in the electricity market. Scenario generation methods for wind speed realizations are also studied. Results show that the introduction of stochastic programming represents a significant improvement over a deterministic model.
Thu, 12 May 2016 14:15:37 GMT
http://hdl.handle.net/2117/87023
20160512T14:15:37Z
Citores, Leire
Corchero García, Cristina
Heredia, F.Javier (Francisco Javier)
In this work a scenariobased twostage stochastic programming model is proposed to solve a microgrid’s tertiary control optimization problem taking into account some renewable energy resource’s uncertainty as well as uncertain energy deviation prices in the electricity market. Scenario generation methods for wind speed realizations are also studied. Results show that the introduction of stochastic programming represents a significant improvement over a deterministic model.

Potential externalities savings due to electric vehicle smart charge
http://hdl.handle.net/2117/86395
Potential externalities savings due to electric vehicle smart charge
Benveniste Pérez, Gabriela; Corchero García, Cristina; Cruz Zambrano, Miguel
This work focuses on the analysis developed in order to demonstrate how smart charging, using tailored control algorithms, contributes to minimize the environmental impact and economic costs associated to the electric vehicles under an LCA perspective. The analysis considers the Spanish grid mix profile and specific charging patterns.The LCA methodology adopted implies a comprehensive assessment of the impacts and costs occurring upstream and downstream the charging event. For the environmental analysis, the LCA impact categories are considered, while for the economic assessment, data regarding the costs associated to the electricity price and the pollutants generation have been adopted.
Thu, 28 Apr 2016 15:17:03 GMT
http://hdl.handle.net/2117/86395
20160428T15:17:03Z
Benveniste Pérez, Gabriela
Corchero García, Cristina
Cruz Zambrano, Miguel
This work focuses on the analysis developed in order to demonstrate how smart charging, using tailored control algorithms, contributes to minimize the environmental impact and economic costs associated to the electric vehicles under an LCA perspective. The analysis considers the Spanish grid mix profile and specific charging patterns.The LCA methodology adopted implies a comprehensive assessment of the impacts and costs occurring upstream and downstream the charging event. For the environmental analysis, the LCA impact categories are considered, while for the economic assessment, data regarding the costs associated to the electricity price and the pollutants generation have been adopted.

European electric vehicle fleet: driving and charging behaviors
http://hdl.handle.net/2117/86393
European electric vehicle fleet: driving and charging behaviors
Corchero García, Cristina
The electrification of vehicles would be a reality in the coming decades. Statistical results on real electric vehicle usage data is a key point in the development of the electro mobility. A large collection of electric vehicles and charging points have been monitored during three years and the results about the driving and charging patterns are shown in this work. These results may help to develop future policies on, for instance, charging infrastructure location, endusers incentives, or to allow different type of economic analysis such as an evaluation of the electric vehicle integration in the grid, smartcharge impact…
Thu, 28 Apr 2016 15:10:46 GMT
http://hdl.handle.net/2117/86393
20160428T15:10:46Z
Corchero García, Cristina
The electrification of vehicles would be a reality in the coming decades. Statistical results on real electric vehicle usage data is a key point in the development of the electro mobility. A large collection of electric vehicles and charging points have been monitored during three years and the results about the driving and charging patterns are shown in this work. These results may help to develop future policies on, for instance, charging infrastructure location, endusers incentives, or to allow different type of economic analysis such as an evaluation of the electric vehicle integration in the grid, smartcharge impact…

An integrated Computational framework for the estimation of dynamic OD trip matrices
http://hdl.handle.net/2117/83507
An integrated Computational framework for the estimation of dynamic OD trip matrices
Barceló Bugeda, Jaime; Montero Mercadé, Lídia
OriginDestination (OD) trip matrices describe the patterns of traffic behavior across the network and play a key role as primary data input to many traffic models. OD matrices are a critical requirement, either in static or dynamic models for traffic assignment. However, OD matrices are not yet directly observable; thus, the current practice consists of adjusting an initial or a priori matrix from link flow counts, speeds, travel times and other aggregate demand data. This information is provided by an existing layout of traffic counting stations, as the
traditional loop detectors. The availability of new traffic
measurements provided by ICT applications offers the possibility to formulate and develop more efficient algorithms, especially suited for realtime applications. However, the efficiency strongly depends, among other factor, on the quality of the seed matrix.
This paper proposes an integrated computational framework in which an offline procedure generates the timesliced OD matrices, which are the input to an online estimator. The paper also analyzes the sensitivity of the online estimator with respect to the available ICT traffic measurements.
Fri, 26 Feb 2016 18:44:07 GMT
http://hdl.handle.net/2117/83507
20160226T18:44:07Z
Barceló Bugeda, Jaime
Montero Mercadé, Lídia
OriginDestination (OD) trip matrices describe the patterns of traffic behavior across the network and play a key role as primary data input to many traffic models. OD matrices are a critical requirement, either in static or dynamic models for traffic assignment. However, OD matrices are not yet directly observable; thus, the current practice consists of adjusting an initial or a priori matrix from link flow counts, speeds, travel times and other aggregate demand data. This information is provided by an existing layout of traffic counting stations, as the
traditional loop detectors. The availability of new traffic
measurements provided by ICT applications offers the possibility to formulate and develop more efficient algorithms, especially suited for realtime applications. However, the efficiency strongly depends, among other factor, on the quality of the seed matrix.
This paper proposes an integrated computational framework in which an offline procedure generates the timesliced OD matrices, which are the input to an online estimator. The paper also analyzes the sensitivity of the online estimator with respect to the available ICT traffic measurements.

Using BCDCTA for difficult tables: a practical experiment with a real Eurostat table
http://hdl.handle.net/2117/83503
Using BCDCTA for difficult tables: a practical experiment with a real Eurostat table
Castro Pérez, Jordi; González Alastrué, José Antonio; Hundepool, Anco
CTA is a posttabular perturbative approach for statistical disclosure control. Its purpose is to compute the closest safe table to the original data, using some distance.
Sensitive cells are adjusted either upwards or downwards (binary decision), and the resulting cells have to be accordingly (and minimally) modi_ed to preserve marginals. For real and large tables, CTA may result in a dicult mixed integer linear problem for some
weights in the objective function. In those situations the Block Coordinate Descent (BCD) heuristic for CTAwhich is included in the TauArgus CTA distributionmay be used to quickly obtain a feasible, hopefully close to optimality, solution. We present a practical experiment using a large and di_cult realworld table from Eurostat. We will show that, for unitary weights, while the standard CTA can not obtain a solution in about half an hour, the BCDCTA approach provides a solution in few seconds.
Fri, 26 Feb 2016 15:41:16 GMT
http://hdl.handle.net/2117/83503
20160226T15:41:16Z
Castro Pérez, Jordi
González Alastrué, José Antonio
Hundepool, Anco
CTA is a posttabular perturbative approach for statistical disclosure control. Its purpose is to compute the closest safe table to the original data, using some distance.
Sensitive cells are adjusted either upwards or downwards (binary decision), and the resulting cells have to be accordingly (and minimally) modi_ed to preserve marginals. For real and large tables, CTA may result in a dicult mixed integer linear problem for some
weights in the objective function. In those situations the Block Coordinate Descent (BCD) heuristic for CTAwhich is included in the TauArgus CTA distributionmay be used to quickly obtain a feasible, hopefully close to optimality, solution. We present a practical experiment using a large and di_cult realworld table from Eurostat. We will show that, for unitary weights, while the standard CTA can not obtain a solution in about half an hour, the BCDCTA approach provides a solution in few seconds.

Development of an open application for teaching statistics: conception and results
http://hdl.handle.net/2117/83171
Development of an open application for teaching statistics: conception and results
Serrahima de Cambra, Eduard; Marco Almagro, Lluís; TortMartorell Llabrés, Xavier; Grima Cintas, Pedro; Rodero de Lamo, Lourdes
Different commercial statistical software packages exist that are appropriate for teaching statistics. However, free alternatives are scarce, and those existing suffer from problems (such as difficult installations and bizarre interfaces) that make them not very usable. This paper presents the conception and implementation of a new application for statistical analysis with the following characteristics: free, simple to use, multiplatform, scalable and with a focus on statistical concepts and ideas.
The whole development cycle will be explained in the presentation: first list of user requirements, design decisions, implementation and testing. The application is developed in R language and uses the shiny package for the user interface. Although the application obviously allows the analysis of real data through graphs and statistical methods, its main objective is facilitating the acquisition of statistical concepts. To accomplish this, menus, configuration options and results are presented in a way that fosters reflection on basic statistical ideas. The application has a special emphasis on industrial statistics.
Initial feedback from users testing the application will be exposed, and ways to freely access and use the application will be presented.
Fri, 19 Feb 2016 12:33:58 GMT
http://hdl.handle.net/2117/83171
20160219T12:33:58Z
Serrahima de Cambra, Eduard
Marco Almagro, Lluís
TortMartorell Llabrés, Xavier
Grima Cintas, Pedro
Rodero de Lamo, Lourdes
Different commercial statistical software packages exist that are appropriate for teaching statistics. However, free alternatives are scarce, and those existing suffer from problems (such as difficult installations and bizarre interfaces) that make them not very usable. This paper presents the conception and implementation of a new application for statistical analysis with the following characteristics: free, simple to use, multiplatform, scalable and with a focus on statistical concepts and ideas.
The whole development cycle will be explained in the presentation: first list of user requirements, design decisions, implementation and testing. The application is developed in R language and uses the shiny package for the user interface. Although the application obviously allows the analysis of real data through graphs and statistical methods, its main objective is facilitating the acquisition of statistical concepts. To accomplish this, menus, configuration options and results are presented in a way that fosters reflection on basic statistical ideas. The application has a special emphasis on industrial statistics.
Initial feedback from users testing the application will be exposed, and ways to freely access and use the application will be presented.

A sharedparameter joint model for prostate cancer risk and psa longitudinal profiles
http://hdl.handle.net/2117/82670
A sharedparameter joint model for prostate cancer risk and psa longitudinal profiles
Serrat Piè, Carles; Rué, Montserrat; Perpiñán Fabuel, Hèctor; Forte, Anabel; Armero, Carmen; Piulachs, Xavier; Páez, Álvaro; Gómez Melis, Guadalupe
The paper describes the use of frequentist and Bayesian sharedparameter joint models of longitudinal measurements of prostate specific antigen (PSA) and the risk of prostate cancer (PCa). The motivating dataset corresponds to the screening arm of the Spanish branch of the European Randomized Screening for Prostate Cancer (ERSPC) study. The results show that PSA is highly associated with the risk of being diagnosed with PCa and that there is an agevarying effect of PSA on PCa risk. Both the frequentist and Bayesian paradigms produced very close parameter estimates and subsequent 95% confidence and credibility intervals. Dynamic estimations of diseasefree probabilities obtained using Bayesian inference highlight the potential of joint models to guide personalized riskbased screening strategies.
Mon, 08 Feb 2016 12:54:41 GMT
http://hdl.handle.net/2117/82670
20160208T12:54:41Z
Serrat Piè, Carles
Rué, Montserrat
Perpiñán Fabuel, Hèctor
Forte, Anabel
Armero, Carmen
Piulachs, Xavier
Páez, Álvaro
Gómez Melis, Guadalupe
The paper describes the use of frequentist and Bayesian sharedparameter joint models of longitudinal measurements of prostate specific antigen (PSA) and the risk of prostate cancer (PCa). The motivating dataset corresponds to the screening arm of the Spanish branch of the European Randomized Screening for Prostate Cancer (ERSPC) study. The results show that PSA is highly associated with the risk of being diagnosed with PCa and that there is an agevarying effect of PSA on PCa risk. Both the frequentist and Bayesian paradigms produced very close parameter estimates and subsequent 95% confidence and credibility intervals. Dynamic estimations of diseasefree probabilities obtained using Bayesian inference highlight the potential of joint models to guide personalized riskbased screening strategies.

Economic analysis of battery electric storage systems operating in electricity markets
http://hdl.handle.net/2117/82524
Economic analysis of battery electric storage systems operating in electricity markets
Heredia, F.Javier (Francisco Javier); Riera, Jordi; Mata, Montserrat; Escuer, Joan; Romeu, Jordi
Battery electric storage systems (BESS) in the range of 110 MWh is a key technology allowing a more efficient operation of small electricity market producer. The aim of this work is to assess the economic viability of Liion based BESS systems for small electricity producers. The results of the expost economic analysis performed with real data from the Iberian Electricity Market shows the economic viability of a Liion based BESS thanks to the optimal operation in dayahead and ancillary electricity markets.
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Wed, 03 Feb 2016 18:04:17 GMT
http://hdl.handle.net/2117/82524
20160203T18:04:17Z
Heredia, F.Javier (Francisco Javier)
Riera, Jordi
Mata, Montserrat
Escuer, Joan
Romeu, Jordi
Battery electric storage systems (BESS) in the range of 110 MWh is a key technology allowing a more efficient operation of small electricity market producer. The aim of this work is to assess the economic viability of Liion based BESS systems for small electricity producers. The results of the expost economic analysis performed with real data from the Iberian Electricity Market shows the economic viability of a Liion based BESS thanks to the optimal operation in dayahead and ancillary electricity markets.

Distributed experiment for the calculus of optimal values for energy consumption in buildings
http://hdl.handle.net/2117/81953
Distributed experiment for the calculus of optimal values for energy consumption in buildings
Fonseca Casas, Pau; Fonseca Casas, Antoni; Garrido Soriano, Núria; Aina Ortiz, Joana; Casanovas Garcia, Josep; Salom, Jaume
Mon, 25 Jan 2016 12:35:58 GMT
http://hdl.handle.net/2117/81953
20160125T12:35:58Z
Fonseca Casas, Pau
Fonseca Casas, Antoni
Garrido Soriano, Núria
Aina Ortiz, Joana
Casanovas Garcia, Josep
Salom, Jaume

UPCEO, connecting statistics and people using R
http://hdl.handle.net/2117/81952
UPCEO, connecting statistics and people using R
Fonseca Casas, Pau; Tormos, Raül; Casanovas Garcia, Josep
A methodology and a tool that implements this methodology are developed using R to construct a web site that allows a lay user to consult statistical information owned by an institution and stored in a cloud database. This methodology was developed followin g the open  data philosophy and was implemented with open source software using R as a key element. The proposed methodology was applied successfully to develop a tool to manage the data of the Centre d’Estudis d’Opinió, but it can be applied to another sta tistical center to enable open access to its data. The system is deployed on a cloud infrastructure that scales according to demand, implementing a 24/7 solution. A user (or a computer program) can access the information on the website using the R language as a communication channel or using a programming application interface. Additionally, in the R language, a common framework can be defined to structure the various processes involved in any statistical operation.
Mon, 25 Jan 2016 12:19:30 GMT
http://hdl.handle.net/2117/81952
20160125T12:19:30Z
Fonseca Casas, Pau
Tormos, Raül
Casanovas Garcia, Josep
A methodology and a tool that implements this methodology are developed using R to construct a web site that allows a lay user to consult statistical information owned by an institution and stored in a cloud database. This methodology was developed followin g the open  data philosophy and was implemented with open source software using R as a key element. The proposed methodology was applied successfully to develop a tool to manage the data of the Centre d’Estudis d’Opinió, but it can be applied to another sta tistical center to enable open access to its data. The system is deployed on a cloud infrastructure that scales according to demand, implementing a 24/7 solution. A user (or a computer program) can access the information on the website using the R language as a communication channel or using a programming application interface. Additionally, in the R language, a common framework can be defined to structure the various processes involved in any statistical operation.