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International Conference on European Electricity Market, EEM

作者： Luís Rodrigues João Mello Kamalanathan Ganesan Ricardo Silva José Villar INESC TEC - Institute for Systems and Computer Engineering Technology and Science Faculdade de Engenharia da Universidade do Porto R&D Nester Portugal

ISBN: (数字)9798350381740

ISBN: (纸本)9798350381757

The integration of renewable generation requires new sources of flexibility, including the flexibility from distributed resources that can be unlocked via local flexibility markets (LFMs). In these markets, aggregators (AGGs) offer the flexibility from their portfolios to the flexibility requesting parties (FRP), i.e. system operators or other balancing requesting parties. To bid in LFMs and manage market uncertainty, AGGs must compute the flexibility they are willing to offer at each possible flexibility market price, by optimizing their portfolios. This paper proposes a 2-stage methodology to compute the flexibility bidding curve that an energy community can send to a LFM when behaving as an AGG of its members resources. At stage 1, the energy community (EC) manager computes the optimal EC operation without flexibility provision, minimizing the EC energy bill, and serving as the baseline to verify the flexibility provision. Then, at stage 2, for each possible flexibility price, the EC manager computes the optimal flexibility to be offered, minimizing the EC energy bill but including the flexibility provision incomes, to build the flexibility bidding curve.

关键词： Renewable energy sources Uncertainty Optimization models Europe Pricing Electric vehicles Regulation

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Open-innovation practices: Diversity in portuguese smes

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Journal of Open Innovation: technology, Market, and Complexity 2021年第3期7卷 169页

作者： Almeida, Fernando Institute for Systems and Computer Engineering Technology and Science (INESC TEC) Polytechnic Institute of Gaya (ISPGAYA) University of Porto Porto 4000-008 Portugal

This study aimed to explore the diversity of open-innovation practices that are adopted in Portuguese SMEs considering the outside-in, inside-out, and coupled paradigms. A quantitative study was carried out considering a sample of 187 Portuguese SMEs. The findings revealed that these organizations favored the adoption of the outside-in paradigm. The inside-out model was the least relevant, especially for smaller companies (i.e., small and micro-companies). The most adopted outside-in practices were the integration of external knowledge from suppliers and clients;in the inside-out model, licensing processes were more important;while in the coupled model, joint ventures and network consortiums stood out. The increase in the innovation capacity of these organizations was highlighted as the most relevant benefit, while the lack of resources and difficulties in integrating knowledge emerged as challenges. This study is especially relevant for the establishment of public-support policies that promote the involvement of Portuguese SMEs in open-innovation processes. © 2021 by the author. Licensee MDPI, Basel, Switzerland.

关键词： Coupled model External knowledge Inside-out model Open innovation Openness Outside-in model

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Demand Response based Trading Framework in the Presence of Fuel Cells Using Information-Gap Decision Theory

Demand Response based Trading Framework in the Presence of F...

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International Conference on Smart Energy systems and technologies (SEST)

作者： Morteza Vahid-Ghavidel Mohammad Sadegh Javadi Sérgio F. Santos Matthew Gough Miadreza Shafie-khah João P. S. Catalão Faculty of Engineering University of Porto (FEUP) Porto Portugal Institute for Systems and Computer Engineering Technology and Science (INESC TEC) Porto Portugal School of Technology and Innovations University of Vaasa Vaasa Finland

ISBN: (数字)9781728147017

ISBN: (纸本)9781728147024

Nowadays demand response (DR) is known as one of the main parts of the power system especially in the smart grid infrastructure. Furthermore, to enhance the participation of the consumers in the DR programs, the Independent System Operators (ISOs) have introduced a new entity, i.e. Demand Response Aggregator (DRA). The main contribution of this paper is to investigate a novel framework to increase the profits of the DRA participating in the day-ahead electricity market, i.e. employment of an axillary generation system in the DRA entity. It is supposed that the DRA in this paper has an axillary generation system and it would lead to an increase in the profit of the DRA through avoiding the economic loss in the process of trading DR obtained by the active participation of prosumers in the electricity market. The fuel cell is introduced as the axillary generation unit to the DRA unit. In the framework proposed in this paper, the DR is acquired from end-users during peak periods and will be offered to the day-ahead electricity market. The power flow during the off-peak hours is in another direction, i.e. from the grid to the consumers. In this model, the information-gap decision theory (IGDT) is chosen as the risk measure. The uncertain parameter is the day-ahead electricity market price. The optimization problem's objective is to maximize the profit of the DRA. The behavior of the risk-seeker decision-maker is analyzed and investigated. The feasibility of the program is demonstrated by applying it to realistic data.

关键词： Fuel cells Electricity supply industry Uncertainty Mathematical model Load management Microgrids Load modeling

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Optimal Prosumer Scheduling in Transactive Energy Networks Based on Energy Value Signals

Optimal Prosumer Scheduling in Transactive Energy Networks B...

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International Conference on Smart Energy systems and technologies (SEST)

作者： Mohamed Lotfi Cláudio Monteiro Mohammad S. Javadi Miadreza Shafie-khah João P.S. Catalão Institute for Systems and Computer Engineering Technology and Science (INESC TEC) Porto Portugal Faculty of Engineering University of Porto (FEUP) Porto Portugal School of Technology and Innovations University of Vaasa Vaasa Finland

We present a novel fully distributed strategy for joint scheduling of consumption and trading within transactive energy networks. The aim is maximizing social welfare, which itself is redefined and adapted for peer-to-peer prosumer-based markets. In the proposed scheme, hourly energy values are calculated to coordinate the joint scheduling of consumption and trading, taking into consideration both preferences and needs of all network participants. Electricity market prices are scaled locally based on hourly energy values of each prosumer. This creates a system where energy consumption and trading are coordinated based on the value of energy use throughout the day, rather than only the market price. For each prosumer, scheduling is done by allocating load (consumption) and supply (trading) blocks, maximizing the energy value globally and locally within the network. The proposed strategy was tested using a case study of typical residential prosumers. It was shown that the proposed model could provide potential benefits for both prosumers and the grid, albeit with a user-centered, fully distributed management model which relies solely on local scheduling in transactive energy networks.

关键词： Transactive energy Mathematical model Adaptation models Processor scheduling Distributed management Resource management Decision making

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Flexibility Provision by Smart Homes in Integrated Energy Management systems

Flexibility Provision by Smart Homes in Integrated Energy Ma...

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International Conference on Environment and Electrical engineering (EEEIC)

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

ISBN: (数字)9781665485371

ISBN: (纸本)9781665485388

This paper presents a mathematical problem formulation for energy management systems for smart homes. The flexibility can be provided by a home energy management system (HEMS) in a local energy community. The main concept is to model the flexibility provision and flexibility procurement within the energy community that can be provided to the aggregator from active consumers. The integrated energy management model is coded as a standard mixed-integer linear programming (MILP) model which can be solved by open-source tools like the PuLP package developed in Python. The simulation results confirm the performance of the proposed model in terms of flexibility provided by the centralized integrated energy system introduced in this paper.

关键词： Home appliances Costs Simulation Smart homes Mathematical models Mixed integer linear programming Energy management systems

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VitalLogger: An adaptable wearable physiology and body-area ambiance data logger for mobile applications

VitalLogger: An adaptable wearable physiology and body-area ...

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International Workshop on Wearable and Implantable Body Sensor Networks (BSN)

作者： Duarte Dias Nuno Ferreira João Paulo Silva Cunha Faculty of Engineering (FEUP) University of Porto Porto Portugal Institute for Systems Engineering and Computers - Technology and Science (INESC TEC) University of Porto Portugal

Current mobile revolution is leading to an increase of wearable health devices development and consequently a growth in ambulatory monitoring area. These systems can be applied in ambulatory diseases management and diagnosis, personal health monitoring or sports performance enhancement, providing physiological and body-area ambiance data during daily normal activities. Nowadays several devices in the market have this type of technology, being one of them the VitalJacket ® (VJ ® ), a product from Biodevices, S.A. This device is a medical certified smart t-shirt with textile embedded electronics for ambulatory monitoring of electrocardiogram (ECG), Heart Rate (HR) and Accelerometer (Acc) data that is in the market since 2008. In this work we report the result of a university-company joint R&D effort that aimed to propose a reference extension architecture - called VitalLogger - for VJ ® wearable health device that enables sensors seamless “plug-in” to the company product. As a proof of concept of this novel adaptable architecture, we jointly implemented a prototype that extends VJ ® technology to incorporate new sensing modules in a seamless way. Both hardware and firmware were re-designed and extended to create a reference extension architecture, enabling easy integration of different sensing modules according to the user monitoring preference/scenario. Besides the ECG module already incorporated in VJ ® , a module with a Blood Oxygen Saturation (SpO2) sensor and an ambiance temperature and relative humidity sensor was developed and added to the extended prototype VitalLogger. This prototype was successfully built and tested, showing excellent results. The VitalLogger adaptable extension architecture has shown its scalability by enabling seamless “plug-in” sensing modules thus creating the possibility of swift creations of new products with different sensors combinations to adapt to different monitoring scenarios.

关键词： Biomedical monitoring Monitoring Prototypes Temperature sensors Electrocardiography Testing

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Joint Centralized and Distributed Electricity Generation Expansion in a Decarbonized Scenario: The Spanish Case

Joint Centralized and Distributed Electricity Generation Exp...

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International Conference on European Electricity Market, EEM

作者： Salvador Domenech Martinez Fco. Alberto Campos Fernandez Michel Rivier Abbad Jose villar Collado Instituto de Investigacion Tecnologica lIT ICAI Universidad Pontificia Comillas Madrid Spain Technology and Science Porto INESC TEC - Institute for Systems and Computer Engineering Portugal

Power systems of most EU countries will face substantial changes driven mainly by the EU Clean Energy Package and the expected increasing role of customers making use of demand response and distributed self-generation and self-storage resources (self-DG&S). This work aims to analyze the impact of these two factors on the long term evolution of both utility scale centralized generation and storage (CG&S), and self-DG&S. An hourly-resolution generation expansion model based on cost minimization for CG&S and expenses' minimization for self-DG&S is used. Four case studies covering the period 2018-2047 for a real sized system (the Spanish one) are presented. Results highlight a strong synergy between battery costs and solar photovoltaic investments, while wind power seems to be better complemented by peaker thermal units.

关键词： Investment Batteries Wind power generation Minimization Mathematical model

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Analysis of the Portuguese and Spanish NECPs Using the CEVESA MIBEL Market Model

Analysis of the Portuguese and Spanish NECPs Using the CEVES...

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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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