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International Conference on European Electricity Market, EEM

作者： André Rodrigues de Oliveira José Villar Collado Salvador Doménech Martínez João Abel Peças Lopes João Tomé Saraiva Fco. Alberto Campos INESC TEC – Institute for Systems and Computer Engineering Technology and Science Faculdade de Engenharia da Universidade do Porto Portugal Institute for Research in Technology Technical School of Engineering Comillas Pontifical University Madrid Spain

ISBN: (数字)9798350381740

ISBN: (纸本)9798350381757

The member states of the European Union (EU) are actively reassessing their National Energy and Climate Plans (NECPs) [1] to jointly address climate challenges and the impacts of the COVID pandemic and gas supply crisis. This study extends the analyses described in [2] by assessing the impact of the updated NECP drafts for Portugal and Spain [3], [4] on the Iberian Electricity Market (MIBEL). For this, we use CEVESA, a market model for the long-term planning and operation of MIBEL that computes the joint dispatch of energy and secondary reserve of the two interconnected single-price zones. Departing from the expected evolution of the electricity generation technologies and demand available in the NECP drafts, joint scenarios for Portugal and Spain are built with the latest CO 2 allowances and fuel prices projections and the latest available historical data of hydro and renewable generation profiles. Simulations provide estimates for the expected market prices, technology generation dispatch, and the usage of the capacity of the interconnection lines between both countries, highlighting potential concerns and knowledge on future NECPs.

关键词： Analytical models Schedules Renewable energy sources Electricity Europe Production Pricing

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Centralized Operation of Multi-Energy Microgrids

Centralized Operation of Multi-Energy Microgrids

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International Conference on Environment and Electrical engineering (EEEIC)

作者： Ali Esmaeel Nezhad Mohammad Sadegh Javadi Pedro H.J. Nardelli Subham Sahoo Department of Electrical Engineering School of Energy Systems LUT University Lappeenranta Finland Institute for Systems and Computer Engineering Technology and Science (INESC TEC) Porto Portugal Department of Energy Aalborg University Aalborg Denmark

This paper presents a centralized model for operating multi-energy microgrids. The proposed model is based on a linearized optimal power flow (OPF) model for handling the network constraints in the distribution networks. It is assumed that each local microgrid is self-sustaining and can be operated independently from the other microgrids. However, the network access provides more flexibility to the multi-energy microgrid operators to supply their loads. The network-based electrical energy transactions are accepted in this study, while energy transformation from electricity to the other carriers is an asset to minimize the overall operating cost of the centralized multi-energy microgrid operation. The proposed model is tested and verified on the modified IEEE 33-bus test system.

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Automating the Annotation of Medical Images in Capsule Endoscopy Through Convolutional Neural Networks and CBIR 12th

Automating the Annotation of Medical Images in Capsule Endos...

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12th International Conference on Mobile Communication and Healthcare, MobiHealth 2023

作者： Fernandes, Rodrigo Salgado, Marta Paçal, Ishak Cunha, António UTAD—University of Trás-os-Montes and Alto Douro Vila Real5001-801 Portugal INESC TEC—Institute for Systems and Computer Engineering Technology and Science Porto4200-465 Portugal Centro Hospitalar Universitário de Santo António Porto4099-001 Portugal Igdir University Iğdır Turkey

ISBN: (纸本)9783031606649

This research addresses the significant challenge of automating the annotation of medical images, with a focus on capsule endoscopy videos. The study introduces a novel approach that synergistically combines Deep Learning and Content-Based Image Retrieval (CBIR) techniques to streamline the annotation process. Two pre-trained Convolutional Neural Networks (CNNs), MobileNet and VGG16, were employed to extract and compare visual features from medical images. The methodology underwent rigorous validation using various performance metrics such as accuracy, AUC, precision, and recall. The MobileNet model demonstrated exceptional performance with a test accuracy of 98.4%, an AUC of 99.9%, a precision of 98.2%, and a recall of 98.6%. On the other hand, the VGG16 model achieved a test accuracy of 95.4%, an AUC of 99.2%, a precision of 97.3%, and a recall of 93.5%. These results indicate the high efficacy of the proposed method in the automated annotation of medical images, establishing it as a promising tool for medical applications. The study also highlights potential avenues for future research, including expanding the image retrieval scope to encompass entire endoscopy video databases. © ICST institute for computer sciences, Social Informatics and Telecommunications engineering 2024.

关键词： Endoscopy

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Gamifying the museological experience

Gamifying the museological experience

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2020 XChange Reality!, XCR 2020

作者： Coelho, António Cardoso, Pedro Van Zeller, Maria Santos, Liliana Raimundo, José Vaz, Roberto FEUP Faculty of Engineering University of Porto Rua Dr. Roberto Frias Porto4200-465 Portugal FBAUP Faculty of Fine Arts University of Porto Avenida Rodrigues de Freitas 265 Porto4049-021 Portugal INESC TEC Institute for Systems and Computer Engineering Technology and Science Rua Dr. Roberto Frias Porto4200-465 Portugal

Museums continue to exert fascination in their visitors. However, the new generation of visitors expects museological experiences that promote their active participation. It is in this context that games and the gamification of such experiences capitalize on experiential learning by experimenting and enacting with in-game embedded artefact surrogates and know-how. In this article, we present four distinct projects that aim to enhance the visitors' experience in museums and green spaces, and also their effectiveness in informal learning. In the first project, gamification is used in combination with Augmented Reality to provide a more engaging experience in a boat museum. The drive of this experience is the metaphor of the stickers album collection to unleash the relevant information of the key-artefacts of the museum collection. The second and third projects focus on the use of pervasive games, more specifically location-based games, to enhance the visitors' experience and informal learning in a natural park and a botanical garden, respectively. The second project presents the concept of a mobile app for outdoor nature experiences. The drive for the experience in the third project is the narrative that intertwines specific locations in the botanic garden and a story inspired by the same place. Finally, in the fourth project, we focus on the potential of technology to provide accessibility in museums for people with special needs or disability, focusing more specifically on blind visitors. Copyright © 2020 for this paper by its authors.

关键词： Augmented reality

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The Importance of the Maintenance Area in the Hotel Sector 1

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International Conference on Tourism, technology and systems, ICOTTS 2021

作者： Silva, Tiago Camarinha Ferreira, Luís Pinto Costa, Elga Silva, Francisco J. G. Ávila, Paulo ISEP—School of Engineering Polytechnic of Porto R. Dr. António Bernardino de Almeida 431 Porto4200-072 Portugal INEGI—Institute of Science and Innovation in Mechanical and Industrial Engineering Porto Portugal Porto Portugal Centre for Tourism Research Development and Innovation Rua D. Sancho I 981 Vila do Conde Lisbon4480-876 Portugal INESC TEC - Institute for Systems and Computer Engineering Technology and Science Porto Portugal

ISBN: (数字)9789811910401

ISBN: (纸本)9789811910395

The hotel sector is a diversified and highly technical sector, where the complexity of the facilities, the specific characteristics, and requirements of the area, as well as the regulations and applicable legislation, constitute an enormous challenge. Thus, a structured maintenance plan must include periodic intervention, the proper functioning of equipment, along with a greater reliability of services and energy efficiency. All these aspects will ensure greater protection and comfort to the customers of the hotel units and will enable the effective management of resources, impacting on the overall costs represented by the maintenance area in a hotel structure. This article aims to demonstrate the key importance of the maintenance area in the hotel sector, concluding that hotel facilities’ management enables processes’ optimisation, providing a significant contribution for the processes’ dynamics and the overall performance of the hotel, the staff and, therefore, the hospitality business. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Maintenance

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The EUniversal Portuguese demonstrator: from MV-LV coordinated identification of flexibility needs to activation through the UMEI

The EUniversal Portuguese demonstrator: from MV-LV coordinat...

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27th International Conference on Electricity Distribution (CIRED 2023)

作者： R. L. Mourão C. Gouveia G. Sampaio F. Retorta C. Merckx F. Benothman A. Águas P. Boto C. D. Silva G. Milzer G. Marzano C. Dumont P. Crucifix M. Kaffash E. Heylen E-REDES Portugal INESC TEC - Institute for Systems and Computer Engineering Technology and Science Portugal ENGIE Impact Belgium NODES Norway N-SIDE Belgium Centrica Belgium

The EUniversal project, funded by the European Union, aims to establish a universal approach to the utilization of flexibility by Distribution System Operators (DSOs) and their engagement with new flexibility markets. To achieve this objective, the project team has focused on developing the Universal Market Enabling Interface (UMEI) concept. This paper presents an overview of the process of adapting grid core systems to interact with different market platforms and agents, which is a key aspect of the real-world demonstration set to take place in Portugal.

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Hausdorff coalgebras

arXiv

引用

arXiv 2019年

作者： Hofmann, Dirk Nora, Pedro Center for Research and Development in Mathematics and Applications Department of Mathematics University of Aveiro Portugal HASLab INESC TEC - Institute for Systems and Computer Engineering Technology and Science University of Minho Portugal

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Improved hybridization of CEVESA MIBEL market model based on real market data

Improved hybridization of CEVESA MIBEL market model based on...

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International Conference on European Electricity Market, EEM

作者： André Rodrigues de Oliveira José Villar Collado João Tomé Saraiva Fco. Alberto Campos INESC TEC – Institute for Systems and Computer Engineering Technology and Science Faculdade de Engenharia da Universidade do Porto Porto Portugal Institute for Research in Technology Technical School of Engineering Comillas Pontifical University Madrid Spain

This paper presents a new hybridization approach to improve CEVESA, a multi-zonal hydro-thermal equilibrium model for the joint dispatch of energy and secondary reserve capacity for the Iberian Electricity Market (MIBEL). Like similar fundamental models, CEVESA provides market prices that typically show an average systematic bias compared to real market prices. This is because these models do not always capture the true variable production costs of the generation units or the additional markups that generation companies may include in their pricing strategy. Based on real market outcomes, this paper proposes a new methodology built on a previous hybridization approach that estimated a constant monthly markup per thermal offering unit [1]. This new methodology is based on a functional estimation of the offering unit cost (or bidding price), using as input the initial CEVESA production costs based on the fuel and emissions commodities’ prices, correcting the power plants’ markup.

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Autoencoders as Weight Initialization of Deep Classification Networks for Cancer versus Cancer Studies

arXiv

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arXiv 2020年

作者： Ferreira, Mafalda Falcão Camacho, Rui Teixeira, Luís F. Doctoral Program in Informatics Engineering Faculty of Engineering University of Porto INESC TEC - Institute for Systems and Computer Engineering Technology and Science Porto Portugal Department of Informatics Engineering Faculty of Engineering University of Porto Porto - Portugal

Cancer is still one of the most devastating diseases of our time. One way of automatically classifying tumor samples is by analyzing its derived molecular information (i.e., its genes expression signatures). In this work, we aim to distinguish three different types of cancer: thyroid, skin, and stomach. For that, we compare the performance of a Denoising Autoencoder (DAE) used as weight initialization of a deep neural network. Although we address a different domain problem in this work, we have adopted the same methodology of Ferreira et al.. In our experiments, we assess two different approaches when training the classification model: (a) fixing the weights, after pre-training the DAE, and (b) allowing fine-tuning of the entire classification network. Additionally, we apply two different strategies for embedding the DAE into the classification network: (1) by only importing the encoding layers, and (2) by inserting the complete autoencoder. Our best result was the combination of unsupervised feature learning through a DAE, followed by its full import into the classification network, and subsequent fine-tuning through supervised training, achieving an F1 score of 98.04% ± 1.09 when identifying cancerous thyroid samples. Copyright © 2020, The Authors. All rights reserved.

关键词： Classification (of information)

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Wearable Glove Interaction with Robots

Wearable Glove Interaction with Robots

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2019 International Conference on engineering Applications, ICEA 2019

作者： Ferreira, N.M. Fonseca Silva, Marco Santos, Victor D.N. Santos, Frederico Miguel Santos, J. Candido B. Ferreira, Joao P. Institute for Systems and Computer Eng. Technology and Science-INESC TEC Rua Dr. Roberto Frias Porto4200-465 Portugal Coimbra Polytechnic ISEC Rua Pedro Nunes-Quinta da Nora Coimbra3030-199 Portugal Institute for Systems and Computers Engineering at Coimbra INESC Coimbra Rua Silvio Lima Polo II DEEC Coimbra3030-790 Portugal Telecommunications Institute Rua do Campo Alegre Porto4169-007 Portugal Institute of Systems and Robotics ISR DEEC Rua Sílvio Lima Pólo II Coimbra3030-290 Portugal

ISBN: (纸本)9781728129624

This paper presents the exciting use of robotics to teach technologies in an approach that motivates the students through intuitive learning. MSc degree programme students are engaged in strong team-building, while developing and testing new algorithms for mobile robotics and electronics areas. This project endows students with intuitive learning, and experimental results revealed that the integration of skills allows the students to develop applications for real scenarios. In this work it is described an application to control with hand gestures, several differential driven robots. © 2019 IEEE.

关键词： Students

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