Ponències/Comunicacions de congressos
http://hdl.handle.net/2117/3944
2016-05-06T02:03:10ZPotential 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.
2016-04-28T15:17:03ZBenveniste Pérez, GabrielaCorchero García, CristinaCruz Zambrano, MiguelThis 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, end-users incentives, or to allow different type of economic analysis such as an evaluation of the electric vehicle integration in the grid, smart-charge impact…
2016-04-28T15:10:46ZCorchero García, CristinaThe 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, end-users incentives, or to allow different type of economic analysis such as an evaluation of the electric vehicle integration in the grid, smart-charge 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
Origin-Destination (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 real-time 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 off-line procedure generates the time-sliced OD matrices, which are the input to an on-line estimator. The paper also analyzes the sensitivity of the on-line estimator with respect to the available ICT traffic measurements.
2016-02-26T18:44:07ZBarceló Bugeda, JaimeMontero Mercadé, LídiaOrigin-Destination (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 real-time 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 off-line procedure generates the time-sliced OD matrices, which are the input to an on-line estimator. The paper also analyzes the sensitivity of the on-line estimator with respect to the available ICT traffic measurements.Using BCD-CTA for difficult tables: a practical experiment with a real Eurostat table
http://hdl.handle.net/2117/83503
Using BCD-CTA for difficult tables: a practical experiment with a real Eurostat table
Castro Pérez, Jordi; González Alastrué, José Antonio; Hundepool, Anco
CTA is a post-tabular 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 CTA|which is included in the Tau-Argus CTA distribution|may be used to quickly obtain a feasible, hopefully close to optimality, solution. We present a practical experiment using a large and di_cult real-world 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 BCD-CTA approach provides a solution in few seconds.
2016-02-26T15:41:16ZCastro Pérez, JordiGonzález Alastrué, José AntonioHundepool, AncoCTA is a post-tabular 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 CTA|which is included in the Tau-Argus CTA distribution|may be used to quickly obtain a feasible, hopefully close to optimality, solution. We present a practical experiment using a large and di_cult real-world 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 BCD-CTA 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; Tort-Martorell 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, multi-platform, 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.
2016-02-19T12:33:58ZSerrahima de Cambra, EduardMarco Almagro, LluísTort-Martorell Llabrés, XavierGrima Cintas, PedroRodero de Lamo, LourdesDifferent 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, multi-platform, 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 shared-parameter joint model for prostate cancer risk and psa longitudinal profiles
http://hdl.handle.net/2117/82670
A shared-parameter 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 shared-parameter 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 age-varying 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 disease-free probabilities obtained using Bayesian inference highlight the potential of joint models to guide personalized risk-based screening strategies.
2016-02-08T12:54:41ZSerrat Piè, CarlesRué, MontserratPerpiñán Fabuel, HèctorForte, AnabelArmero, CarmenPiulachs, XavierPáez, ÁlvaroGómez Melis, GuadalupeThe paper describes the use of frequentist and Bayesian shared-parameter 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 age-varying 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 disease-free probabilities obtained using Bayesian inference highlight the potential of joint models to guide personalized risk-based 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 1-10 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 Li-ion based BESS systems for small electricity producers. The results of the ex-post economic analysis performed with real data from the Iberian Electricity Market shows the economic viability of a Li-ion based BESS thanks to the optimal operation in day-ahead and ancillary electricity markets.
2016-02-03T18:04:17ZHeredia, F.-Javier (Francisco Javier)Riera, JordiMata, MontserratEscuer, JoanRomeu, JordiBattery electric storage systems (BESS) in the range of 1-10 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 Li-ion based BESS systems for small electricity producers. The results of the ex-post economic analysis performed with real data from the Iberian Electricity Market shows the economic viability of a Li-ion based BESS thanks to the optimal operation in day-ahead 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
2016-01-25T12:35:58ZFonseca Casas, PauFonseca Casas, AntoniGarrido Soriano, NúriaAina Ortiz, JoanaCasanovas Garcia, JosepSalom, JaumeUPCEO, 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.
2016-01-25T12:19:30ZFonseca Casas, PauTormos, RaülCasanovas Garcia, JosepA 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.SDL – The IoT Language
http://hdl.handle.net/2117/81878
SDL – The IoT Language
Sherratt, Edel; Ober, Ileana; Gaudin, Emmanuel; Fonseca Casas, Pau; Kristoffersen, Finn
Interconnected smart devices constitute a large and rapidly growing element of the contemporary Internet. A smart thing can be as simple as a web-enabled device that collects and transmits sensor data to a repository for analysis, or as complex as a web-enabled system to monitor and manage a smart home. Smart things present marvellous opportunities, but when they participate in complex systems, they challenge our ability to manage risk and ensure reliability. SDL, the ITU Standard Specification and Description Language, provides many advantages for modelling and simulating communicating agents – such as smart things – before they are deployed. The potential for SDL to enhance reliability and safety is explored with respect to existing smart things below. But SDL must advance if it is to become the language of choice for developing the next generation of smart things. In particular, it must target emerging IoT platforms, it must support simulation of interactions between pre-existing smart things and new smart things, and it must facilitate deployment of large numbers of similar things. Moreover, awareness of the potential benefits of SDL must be raised if those benefits are to be realized in the current and future Internet of Things.
2016-01-22T10:53:02ZSherratt, EdelOber, IleanaGaudin, EmmanuelFonseca Casas, PauKristoffersen, FinnInterconnected smart devices constitute a large and rapidly growing element of the contemporary Internet. A smart thing can be as simple as a web-enabled device that collects and transmits sensor data to a repository for analysis, or as complex as a web-enabled system to monitor and manage a smart home. Smart things present marvellous opportunities, but when they participate in complex systems, they challenge our ability to manage risk and ensure reliability. SDL, the ITU Standard Specification and Description Language, provides many advantages for modelling and simulating communicating agents – such as smart things – before they are deployed. The potential for SDL to enhance reliability and safety is explored with respect to existing smart things below. But SDL must advance if it is to become the language of choice for developing the next generation of smart things. In particular, it must target emerging IoT platforms, it must support simulation of interactions between pre-existing smart things and new smart things, and it must facilitate deployment of large numbers of similar things. Moreover, awareness of the potential benefits of SDL must be raised if those benefits are to be realized in the current and future Internet of Things.