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18th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2020

作者： Ribeiro, Catarina Pinto, Tiago Vale, Zita Baptista, José GECAD – Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development Vila Real Portugal Porto Portugal UTAD – Universidade de Trás-os-Montes e Alto-Douro Vila Real Portugal CPES – INESCTEC Porto Portugal

ISBN: (纸本)9783030519988

With the implementation of micro grids and smart grids, new business models able to cope with the new opportunities are being developed. Virtual Power Players are a player that allows aggregating a diversity of entities, to facilitate their participation in the electricity markets and to provide a set of new services promoting generation and consumption efficiency, while improving players’ benefits. The elastic behavior of the demand consumption jointly used with other available resources such as distributed generation (DG) can play a crucial role for the success of smart grids. This paper proposes methodologies to develop strategic remuneration of aggregated consumers with demand response participation, this model uses a clustering algorithm, applied on values that were obtained from a scheduling methodology of a real Portuguese distribution network with 937 buses, 20310 consumers and 548 distributed generators. The normalization methods and clustering methodologies were applied to several variables of different consumers, which creates sub-groups of data according to their correlations. The clustering process is evaluated so that the number of data sub-groups that brings the most added value for the decision-making process is found, according to players characteristics. © Springer Nature Switzerland AG 2020.

关键词： Distributed power generation

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Educational platform for modeling and control

Educational platform for modeling and control

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Technologies Applied to Electronics Teaching (TAEE)

作者： Ramiro S. Barbosa GECAD - Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development Institute of Engineering - Polytechnic of Porto (ISEP/IPP) Porto Portugal

ISBN: (数字)9781728167329

ISBN: (纸本)9781728167336

Educational hardware kits are a good resource for reinforcing the concepts taught in the theoretical classes. This paper shares the experience of introducing an educational lab kit, called electronic thermal regulation system (SERT), in the curricular unit of Digital Control of BSc. Degree on Electrical and Computer eng.neering of Institute of eng.neering of Porto. The SERT platform is distributed to students to reinforce concepts in modeling and control. The kit proved to be useful in teaching the laboratorial part of the curricular unit, allowing illustrating and consolidating the theoretical concepts, making the classes more motivating, participatory and interesting for students.

关键词： Temperature measurement Temperature control Temperature sensors Hysteresis Matlab Mathematical model Education

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An Ontology to Promote Interoperability between Cyber-physical Security Systems in Critical Infrastructures

An Ontology to Promote Interoperability between Cyber-physic...

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International Conference on Computer and Communications (ICCC)

作者： Alda Canito Katia Aleid Isabel Praça Juan Corchado Goreti Marreiros University of Salamanca Salamanca Spain GECAD - Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development Polytechnic of Porto Porto Portugal

ISBN: (数字)9781728186351

ISBN: (纸本)9781728186368

Critical infrastructures, like airports and hospitals, provide essential services and are considered huge investments in any country. Ensuring the security of these critical infrastructures is a necessity in every possible aspect. These infrastructures, however, currently make use of different technological solutions with distinct security levels, features and knowledge representation formats which often do not communicate directly with each other, leaving the task of processing the global view of the institution's security to the end-users. In order to have a complete view of the current cybersecurity status of a given system, interoperability between these tools must be addressed. Different ontologies have been proposed to deal with subdomains of cybersecurity. Similarly, these fail to provide a full view of cyber and physical security that would be necessary to achieve a global security approach. In this paper, we explore the current status and activities of cybersecurity as a basis for the development process, propose an integrated ontology for combined cyber and physical security. After that, we suggest several evaluation methods to be applied to the resulting ontology in order to check its usefulness in achieving the interoperability goal. The focus will be on the different systems needed for an integrated security of airports.

关键词： Ontologies Tools Airports Critical infrastructure Computer security Task analysis Interoperability

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A logic-based flexibility services tool to support a rich renewable distribution network operation

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Sustainable Energy, Grids and Networks 2025年 43卷

作者： Bruno Canizes Fábio Castro Vitor Silveira Zita Vale Polytechnic of Porto R. Dr. António Bernardino de Almeida 431 Porto 4200-072 Portugal LASI – Intelligent Systems Associate Laboratory 431 Porto 4200-072 Portugal GECAD – Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development Porto 4200-072 Portugal

In recent years, the low-voltage power distribution networks and overall power systems have been undergoing substantial transformations. What were once mere innovation trends are now solidifying into the new norm, driven by advancements in technology and the decreasing costs of manufacturing. Moreover, the role of distribution system operators has been elevated with the widespread deployment of smart meters, coupled with a growing emphasis on eng.ging citizens as pivotal contributors in shaping the future of energy markets and system operations. This evolving topic underscores the importance of devising innovative approaches to explore potential mechanisms for offering additional services within distribution networks, particularly at low-voltage levels. This paper presents a novel logic-based heuristic approach aimed at tackling voltage and congestion challeng.s in low-voltage distribution networks. The approach revolves around bolstering the involvement of small-scale users in demand response initiatives and enhancing the flexibility of dispatchable distributed renewable energy sources to serve as flexibility services. To showcase the efficacy of the proposed model, a case study was conducted on a 236-bus low-voltage distribution network, chosen to reflect real-world conditions. The results demonstrate a substantial improvement in voltage profiles and a noteworthy reduction in congestion levels, when comparing the scenarios pre- versus post-optimization, and flexibility versus no flexibility, validating the effectiveness of the approach.

关键词： Congestion management Demand flexibility Dispatchable renewable generation flexibility Low-voltage distribution network Voltage profile

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Machine learning for rectal cancer prediction based on metabolic changes on amino acids

Machine learning for rectal cancer prediction based on metab...

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Annual IEEE Symposium on Computer-Based Medical Systems

作者： José Tavares Pedro Brandão Ivo Barros Jose Gonçalves Isabel Praça Lucia Lacerda Marisa Santos Computer Engineering Department Porto School of Engineering (ISEP) Porto Portugal UMIB-Unit for Multidisciplinary Research in Biomedicine (ICBAS) and ITR - Laboratory for Integrative and Translational Research in Population Health University of Porto Porto Portugal Coloretal Surgery Unit Surgery 1 Service Centro Hospitalar e Universitario de Santo Antonio Porto Portugal Biochemical Genetics Unit Centro de Genética Medica Centro Hospitalar e Universitario de Santo António Porto Portugal Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development (GECAD) Porto School of Engineering (ISEP) Porto Portugal

Machine learning is an area of Artificial Intelligence in which applying algorithms to a dataset makes it possible to predict results or even discover relationships that would be unnoticeable at first glance. Currently the amount of information available in different areas, especially in health care where data collection and analysis seek to define personalized medicine strategies. This is a field where using Machine Learning-based tools can assume a relevant role. This work presents a study of diverse classification algorithms in the area of machine learning applied to identification of amino acid profiles. The authors defined as a major objective to develop a new biomarker profile for prediction and prognosis of rectal cancer. The data involved in the training of classification algorithms refer to patients with metabolic diseases and rectal cancer. The best machine learning classification models will be tested to achieve the most effective decision support system for a most adequate treatment option selection in order to reduce the morbidity and mortality rate.

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Hybrid Recommendation System for Young Football Athletes Customized Training

Hybrid Recommendation System for Young Football Athletes Cu...

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Future of Information and Communication Conference, FICC 2020

作者： Matos, Paulo Rocha, João Gonçalves, Ramiro Santos, Filipe Abreu, David Soares, Hugo Martins, Constantino Computer Science Department Engineering Institute - Polytechnic of Porto Porto Portugal Trás-os-Montes e Alto Douro University Vila Real Portugal GECAD Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development Porto Portugal INESC TEC - Institute for Systems and Computer Engineering Technology and Science Porto Portugal

ISBN: (纸本)9783030394448

Information and communication technologies (ICTs) are been increasingly used in sports over the past decades, especially in professional football, with the goal of enhancing preparation and improve the athletes’ performance. Training programs, however, are not accessible for young and amateur athletes. Most of the systems available, don’t have learning skills to adjust, develop and find new suggestions for training, specifically designed for each athlete. In this paper we present the Smart Coach architecture and user adaptation model and describe our hybrid recommendation system to help the development of young athletes. It simplifies the relationship between the team’s technical staff leaders and their young athletes, enhancing the counselling of the young person and their development as an athlete. The system allows performance evaluation for young athletes utilizing various measurements. The match information is captured intuitively and adaptively by acquaintances, relatives and staff, using a comfortable smartphone interface. © Springer Nature Switzerland AG 2020.

关键词： Recommender systems

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Improving the lifestyle behavior of type 2 diabetes mellitus patients using a mobile application

Improving the lifestyle behavior of type 2 diabetes mellitus...

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IEEE Symposium on Computers and Communications (ISCC)

作者： Andreia Pinto João Viana Diogo Martinho Vítor Crista José Miguel Diniz Joana Reis João Matos David Greer Goreti Marreiros Alberto Freitas Department of Community Medicine Information and Health Decision Sciences (MEDCIDS) Faculty of Medicine Center for Health Technology and Services Research (CINTESIS) University of Porto Porto Portugal Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development (GECAD) Institute of Engineering Polytechnic of Porto Porto Portugal Health Data Science PhD Program Faculty of Medicine Center for Health Technology and Services Research (CINTESIS) University of Porto Lisboa Portugal CLOO - Behavioral Insights Unit Faculty of Psychology CICPSI - Research Center for Psychological Science University of Lisbon Lisboa Portugal Behavioral Insights Unit CLOO Porto Portugal Behavioral Insights Unit CLOO Lisboa Portugal

ISBN: (数字)9781665497923

ISBN: (纸本)9781665497930

Type 2 diabetes is an increasingly prevalent disease and patients do not always manage the disease properly. Therefore, creating tools that help diabetics self-manage their condition over time is of the utmost importance. Technological tools that include features meeting this population's needs, with an integrated personalized feedback system, in an environment of gamified incentives, may be the way for developing a sustained app's usage. This work aims to present a still in development, novel approach to managing diabetes type 2 with a focus on data analysis from user-inputs, gamification, and personalized coaching, with an accessible user interface. Thus, we will present some functionalities, in particular the theoretical and practical concept that is behind this development, namely the Transtheoretical model of behavior change to create different profiles, to provide customized feedback according to the user's behavioral stage, and also to ascertain if it induces any improvement at the behavioral level.

关键词： Computers Data analysis Computational modeling User interfaces Diabetes Behavioral sciences Mobile applications

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AIRDOC: Smart mobile application for individualized support and monitoring of respiratory function and sounds of patients with chronic obstructive disease 12

AIRDOC: Smart mobile application for individualized support ...

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12th IADIS International Conference e-Health 2020, EH 2020, Part of the 14th Multi Conference on Computer Science and Information Systems, MCCSIS 2020

作者： Almeida, Rute Jácome, Cristina Martinho, Diogo Vieira-Marques, Pedro Jacinto, Tiago Ferreira, Ana Almeida, Ana Martins, Constantino Pereira, Mariana Pereira, Ana Valente, José Almeida, Rafael Vieira, Ana Amaral, Rita Sá-Sousa, Ana Gonçalves, Ivânia Rodrigues, Pedro Alves-Correia, Magna Freitas, Alberto Marreiros, Goreti Fonseca, Susana Caldas Pereira, Altamiro Costa Fonseca, João Almeida CINTESIS Center for Health Technology and Services Research Faculty of Medicine University of Porto Porto Portugal MEDCIDS Department of Community Medicine Health Information and Decision Faculty of Medicine University of Porto Porto Portugal GECAD Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development Institute of Engineering Polytechnic of Porto Portugal MEDIDA Serviços em Medicina EDucação Investigação Desenvolvimento e Avaliação LDA Porto Portugal Porto Health School Polytechnic Institute of Porto Porto Portugal

ISBN: (纸本)9789898704184

Current tools for self-management of chronic obstructive respiratory diseases (CORD) are difficult to use, not individualized and requiring laborious analysis by health professionals, discouraging their use in healthcare. There is an opportunity for cost-effective and easy-to-disseminate advanced technological solutions directed to patients and attractive to different stakeholders. The strategy of AIRDOC is to develop and integrate self-monitoring and self-managing tools, making use of the smartphone's presence in everyday life. AIRDOC intends to innovate on: i) technologies for remote monitoring of respiratory function and computerized lung auscultation;ii) coaching solutions, integrating psychoeducation, gamification and disease management support systems;and iii) management of personal health data, focusing on security, privacy and interoperability. It is expected that AIRDOC results will contribute for the innovation in CORD healthcare, with increased patient involvement and empowerment while providing quality prospective information for better clinical decisions, allowing more efficient and sustainable healthcare delivery. © Proceedings of the 12th IADIS International Conference e-Health 2020, EH 2020 - Part of the 14th Multi Conference on Computer Science and Information Systems, MCCSIS 2020. All rights reserved.

关键词： mHealth

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Defining the Optimal Number of Demand Response Programs and Tariffs Using Clustering Methods

Defining the Optimal Number of Demand Response Programs and ...

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International Conference on intelligent Systems Applications to Power Systems (ISAP)

作者： Cátia Silva Pedro Faria Zita Vale GECAD – Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development PP - Polytechnic of Porto Porto Portugal

ISBN: (数字)9781728131924

ISBN: (纸本)9781728131931

Nowadays, the data can be considered an asset when properly managed. An entity with the right tool to analyse the amount of data existent and withdraw crucial information will have the power to obliterate the competition. In the Energy sector, with Smart Grid introduction, small resources have more influence in the market through Demand Response and bidirectional communication. However, none of the actual business models is prepared to deal with the uncertainty related to these resources. The authors, in order to find a solution for this complex problem, proposed a methodology which the goal is to minimize operation costs and give fair compensation for resources who participate in the management of local markets. With this fair payment, it is expected continuous participation. Through clustering methods, remuneration groups are created. In the present paper, a study about the optimal number of clusters is performed. The information gives the Aggregator control in results of the following phases, understanding the impact in the remuneration of the resources.

关键词： Remuneration Elbow Distributed power generation Load management Clustering methods Optimal scheduling

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Innovative electricity market designs to support a transition to (near) 100% renewable power system: first results from H2020 TradeRES project

Innovative electricity market designs to support a transitio...

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22nd Wind and Solar Integration Workshop (WIW 2023)

作者： A. Estanqueiro G. Strbac N. Chrysanthopoulos G. Santos S. Jo-hanndeiter H. Algarvio H. Syse E. Sperber N. Wang I. Jimenez D. Qiu Z. Vale K. Nienhaus J. Kochems C. Schimeczek J. Sijm L. de Vries F. Lopes A. Couto Renewable Energies and Energy Efficiency Unit Laboratório Nacional de Energia e Geologia I.P. Estrada do Paço do Lumiar Lisboa Portugal Department of Electrical and Electronic Engineering Imperial College London London UK GECAD - Research Group on Intelligent Eng. and Computing for Advanced Innovation and Development LASI - Intel-ligent Systems Associate Laboratory Polytechnic of Porto Rua Dr. António Bernardino de Almeida. Porto Portugal EnBW Baden-Württemberg Department of Energy Economics Durlacher Allee 93 76137 Karlsruhe Germany bitYoga AS Prof. Olav Hansens vei 7A 4021 Stavanger Norway German Aerospace Center (DLR) Inst. of Networked Energy Systems Energy Systems Analysis Stuttgart Germany Energy Transition Studies TNO Radarweg 60 1043 NT Amsterdam The Netherlands Faculty of Technology Policy and Management TU Delft Jaffalaan 5 2628 BX The Netherlands

Developing innovative electricity market designs to facilitate a sustainable transition to (near) 100% renewable power systems while meeting societal needs is a crucial and actual topic of research. This article presents preliminary key findings from the H2020 Euro-pean project TradeRES, addressing this critical topic. The project uses agent-based and optimization models to effectively capture the behaviour of different market players, and to analyse the current and future power system energy mixes of selected European case studies with different physical and spatial scales from: i) local energy communities and local energy markets (LEMs); ii) nation-al/regional - the Netherlands, Germany, and Iberia (Portugal and Spain); and iii) pan-European energy markets. The first results on LEMs indicate a substantial economic benefit for participants and enhanced revenue streams for distributed energy resources, able to i) incentivise further decentralised investments; ii) promote the growth of variable renewable energy systems (vRES) and iii) increase flexibility at the local level. The outcomes are sensitive to the tariffs' structure, while the retail sector competitiveness was identified as a critical parameter affecting its efficiency. For the pan-European and national/regional case studies, the first set of simulations had consistent outcomes, namely, by pointing out current design of energy-only markets to be insufficient to incentivize the high levels of vRES foreseen in Europe. Different support schemes (e.g., fixed market premia, contract for differences) were tested and results suggest they may play a relevant role in effectively covering the cost of vRES in a market environment.

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