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Joint Optimization of Production and Maintenance for Effective Manufacturing Using a Genetic Algorithm

Joint Optimization of Production and Maintenance for Effecti...

引用

International Conference on Environment and Electrical engineering (EEEIC)

作者： Bruno Mota Pedro Faria Carlos Ramos GECAD - Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development LASI - Intelligent Systems Associate Laboratory Polytechnic of Porto Porto Portugal

While energy prices are seen as the major drive for competitiveness in the manufacturing field, intelligent maintenance scheduling is also one of the most widespread and significant issues plaguing the manufacturing industry. Maintenance activities can cost between 15% and 70% of the price of goods sold, thus it is essential to optimize both energy and maintenance costs. The purpose of this paper is to propose a production line optimization system that focuses on reducing the total costs (i.e., energy and maintenance costs) while also taking into account dynamic pricing, Renewable Energy Resource (RER) usage, and constraints applied in the production plan. In the proposed system, tasks and maintenance activities are scheduled by using a Genetic Algorithm. To validate the proposed system, a baseline scenario that uses real production data is considered. The obtained results show that the system is able to comply with imposed maintenance hours while also minimizing costs by shifting tasks to higher RER generation and lower energy price times, while the opposite is done to maintenance activities.

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Demand Response-based Energy Management Model for Energy Communities considering Data Privacy of the Members

Demand Response-based Energy Management Model for Energy Com...

引用

IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe)

作者： Ruben Barreto Luis Gomes Pedro Faria Zita Vale GECAD - Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development LASI - Intelligent Systems Associate Laboratory Polytechnic of Porto Porto Portugal

This paper proposes a demand response-based energy management model for energy communities, considering the respective members’ data privacy. Through forecasting and clustering algorithms, this model can identify demand response opportunities for the next day, rank and select the participants for the event and monitor and evaluate the respective event. The paper’s novelty lies in increasing the energy community members’ active participation by allowing them to submit one or more proposals to participate in a demand response event. In this way, a member can, on the one hand, have more freedom to choose how to participate and, on the other hand, have more opportunities to contribute to the DR event with their energy flexibility. This model was tested with real data from an energy community with 50 buildings, which can provide flexibility through reductions and shifting. The results showed that the model’s efficiency could increase by considering the multiple proposals per member. Moreover, it was verified that with just one event, it is possible to reduce the CO 2 emissions and the energy cost by 50% and 73%, respectively, as well increasing the energy community sustainability by 10%.

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Lighting consumption optimization using fish school search algorithm

Lighting consumption optimization using fish school search a...

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2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017

作者： Faria, Pedro Pinto, Ângelo Vale, Zita Khorram, Mahsa De Lima Neto, Fernando B. Pinto, Tiago GECAD - Res. Group on Intelligent Engineering and Computing for Advanced Innovation and Development ISEP/IPP - Polytechnic of Porto Porto Portugal Polytechnic School of Engineering Computing Engineering Program University of Pernambuco Rua Benfica 455 Recife50720-001 Brazil Calle Espejo 12 Salamanca37007 Spain

ISBN: (纸本)9781538627259

Electricity consumption has increased all around the world in the last decades. This has caused a rise in the use of fossil fuels and in the harming of the environment. In the past years the use of renewable energies and reduction of consumption has growth in order to deal with that problem. The change in the production paradigm led to an increasing search of ways to shorten consumption and adapt to the production. One of the solutions for this problem is to use Demand Response systems. Lighting systems have a major role in electricity consumption, so they are very suitable to be applied in a Demand Response system, optimizing their use. This optimization can be made in different ways being one of them by using a heuristic algorithm. This paper focuses on the use of Fish School Search algorithm to optimize a lighting system, in order to understand its capability of dealing with a problem of this nature and compare it with other algorithms to evaluate its performance. © 2017 IEEE.

关键词： Optimization

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Educational platform for modeling and control

Educational platform for modeling and control

引用

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 engineering of Institute of engineering 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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Automated energy management and learning

Automated energy management and learning

引用

Artificial Intelligence (CAI), IEEE Conference on

作者： Gabriel Santos Brígida Teixeira Tiago Pinto Zita Vale GECAD - Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development LASI - Intelligent Systems Associate LAboratory Polytechnic of Porto Porto Portugal

Automatic energy management systems allow users’ active participation in flexibility management while assuring their energy demands. We propose a transparent framework for automated energy management to increase trust and improve the learning process, combining machine learning, experts’ knowledge, and semantic reasoning. A practical example of thermal comfort shows the advantages of the framework.

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Multilevel Electricity Trading Simulation considering Energy Communities Participation

Multilevel Electricity Trading Simulation considering Energy...

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International Conference on European Electricity Market, EEM

作者： Gabriel Santos Ricardo Faia Fernando Lezama Zita Vale GECAD – Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development LASI – Intelligent Systems Associate Laboratory Polytechnic of Porto Porto Portugal

The EU is encouraging the creation of local energy communities (LECs) for electricity trading, promoting local balance and a self-sustained community while reducing electricity bills. Local electricity markets (LEMs) ease the electricity trading of distributed energy resources while incentivizing the integration of renewable energy sources into the grid. However, presently, LEMs have low liquidity, and the demand is significantly higher than the supply. One possible solution to address this issue is participation in the wholesale market, assessing lower prices, and providing additional savings. This work proposes a multilevel electricity trading framework for LECs’ participation. The simulation framework comprises different LEM models for electricity trading at different levels, culminating in wholesale market participation through a LEC aggregator. Results show the benefits of LECs’ participation in the multilevel trading platform with significant savings.

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Local Energy Market Competition Approach for Demand Response Events

Local Energy Market Competition Approach for Demand Response...

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IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe)

作者： Cátia Silva Pedro Faria Zita Vale Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development (GECAD) Intelligent Systems Associated Laboratory (LASI) Polytechnic of Porto Porto Portugal

In local energy markets, Demand Response (DR) concept plays an essential role in balancing the generation and demand at a local level. Consumers and prosumers, assisted by aggregators, participate in DR events by responding to signals to adjust their energy consumption patterns. Aggregators act as intermediaries of small consumers, coordinating their participation. However, their response is uncertain due to their volatile behavior. Previous work by the authors designed a trustworthy rate to deal with uncertainty but did not consider any competition between players. This study approach allows competition between power and energy players. The idea is to give freedom of choice to the DR participants using a tool developed by the authors. In the end, it is expected to create an aggregator portfolio that aligns more closely with its objectives, particularly when it comes to maximizing profits.

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An Agent-based IoT System for intelligent Energy Monitoring in Buildings

An Agent-based IoT System for Intelligent Energy Monitoring ...

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IEEE Vehicular Technology Conference

作者： Luis Gomes Filipe Sousa Zita Vale GECAD - Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development Institute of Engineering - Polytechnic of Porto (ISEP/IPP) Porto Portugal

The new power system paradigm demands a more active end-consumer participation in smart grids environment. To achieve this participation, new demand side management solutions should be developed and analyzed. Moreover, the massive dissemination of internet of things devices inside buildings are a reality in nowadays. This paper proposes a multi-agent system for microgrid representation that integrates internet of thing devices to boost the energy management in today's buildings. The paper will present the proposed multi-agent system as well as an environmental awareness smart plug. The case study in this paper will present the data acquisition from a real building using a combination of market internet of things smart plugs, the proposed environmental awareness smart plug and a load emulator.

关键词： Plugs Buildings Energy management Protocols Microgrids intelligent sensors

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A Multi-Agent System Empowered by Federated Learning and Genetic Programming

A Multi-Agent System Empowered by Federated Learning and Gen...

引用

IEEE Signal Processing and Communications Applications (SIU)

作者： Luis Gomes Bruno Ribeiro Fernando Lezama Zita Vale GECAD - Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development LASI - Intelligent Systems Associate Laboratory Polytechnic of Porto Porto Portugal

The use of multi-agent systems enables the modelling of complex and decentralized solutions, giving the ability to have agents representing different entities and assets in a social environment where they can interact and pursue their individual goals. However, multi-agent systems are usually data-driven solutions in which interactions are performed based on data sharing and environmental feedback. Therefore, the integration of multi-agent systems with federated learning, a knowledge-driven approach, allows agents to share knowledge among them in a collaborative and cooperative approach. This integration can be well seen in decentralized solutions where similar entities can benefit from collaborative and cooperative environments. This is the case in industrial environments and in smart grid environments, namely for the improvement of learning models. This paper proposes a methodology composed of a multi-agent system where the agents are empowered by federated learning. The proposed methodology was tested and validated using a genetic programming model with MNIST dataset in terms of feasibility and performance.

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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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