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Fuzzy Algorithms for Fractional PID Control Systems 18th

Fuzzy Algorithms for Fractional PID Control Systems

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18th International Conference on Hybrid Intelligent Systems, HIS 2018

作者： Barbosa, Ramiro S. Jesus, Isabel S. GECAD - Knowledge Engineering and Decision Support Research Center Department of Electrical Engineering ISEP/IPP - School of Engineering Polytechnic Institute of Porto Porto Portugal

ISBN: (纸本)9783030143466

This article investigates the use of fuzzy algorithms for fractional PID control systems. The tuning of the fuzzy controllers is based on the prior knowledge of integer or fractional-order control strategy. The suggested fuzzy controllers are fine tuned using a genetic algorithm (GA). The effectiveness and robustness of the proposed methodology is illustrated through its application on the control of a fractional-order plant. The simulation results show the better performance of nonlinear fuzzy algorithms of fractional-order. © 2020, Springer Nature Switzerland AG.

关键词： Three term control systems

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Battery scheduling models in smart buildings: a systematic literature review

Battery scheduling models in smart buildings: a systematic l...

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Power Electronics and Control (SEPOC), Seminar on

作者： Júlia Possebon Spellmeier Carmen Brum Rosa Luis Gomes Zita Vale Rogerio Moreira Alves Depart. of Production and Systems Engineering Universidade Federal de Santa Maria (UFSM) Brasil Knowledge Engineering and Decision-Support Research Center (GECAD) Instituto Superior de Engenharia do Porto (ISEP) Porto Portugal Department of Electrical Engineering Universidade Federal de Goiás Goiás Brasil

Economic development brings the current scenario closer to the depletion of natural resources. Directly related to this it’s the energy consumption and the need to seek sustainable solutions to prevent the harmful consequences of this depletion. Solar energy harnessed through photovoltaic technology is a solution capable of reducing the environmental impact, as it is a resource that is less harmful to the environment. The energy demand is seen as rising worldwide, and strategies must be developed to improve energy efficiency and maintain the balance of the electrical network, considering the comfort of consumers and the minimization of polluting emissions. In this sense, the concept of Home Energy Management Systems (HEMS) aims to reduce electricity bills, maintain the efficiency of electronic equipment, and Demand Response, which seeks to change the use of electricity by consumers. Thus, the present study aims to search the literature for different HEMS models, specifically battery scheduling, for the future application of a model for a case study in the laboratory gecad - research Group on Intelligent engineering and Computing for Advanced Innovation and Development.

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Gravitational search algorithm applied for residential demand response using real-time pricing 15th

Gravitational search algorithm applied for residential deman...

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15th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2017

作者： Spavieri, G. Fernandes, R.A.S. Vale, Z. Department of Electrical Engineering Federal University of Sao Carlos - UFSCar Sao Carlos Brazil Knowledge Engineering and Decision Support Research Center – GECAD Institute Polytechnic of Porto – IPP Porto Portugal

ISBN: (纸本)9783319615776

This paper has as main objective the performance evaluation of the Gravitational Search Algorithm for Demand Response programs applied to residential consumers. For this purpose, it was considered a model that describes the consumption and energy price, according to the loads present in a residence. This way, it is intended to minimize the cost of electricity for final consumers based on an optimized planning of their loads at different times. In addition, it will be considered a variable cost of electricity over time (hourly price). In this sense, the cost of electricity will be discretized throughout the day. Finally, the performance of the Gravitational Search Algorithm for the considered model will be evaluated. © Springer International Publishing AG 2018.

关键词： Optimization

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ECG denoising with adaptive filter and singular value decomposition techniques 9

ECG denoising with adaptive filter and singular value decomp...

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9th International C* Conference on Computer Science and Software engineering, C3S2E 2016

作者： Meireles, António Figueiredo, Lino Lopes, Luís Seabra Almeida, Ana GECAD - Knowledge Engineering and Decision Support Research Center Porto Portugal IEETA - Institute of Electronics and Telematics Engineering of Aveiro Aveiro Portugal

ISBN: (纸本)9781450340755

An electrocardiogram (ECG) system deals with several challenges related with noise sources. The denoising process is a challenge due to ECG signal amplitude with respect to noise amplitude. The filtering process can be executed by analogue filters or digital filters, however, modern systems uses digital filters mainly because their flexibility, efficiency and hardware costs reduction. This paper compares the ability of two digital techniques used in ECG denoising, namely Adaptive Filter (AF) and Singular Value Decomposition (SVD). The techniques were applied to real ECG signals contaminated with the most common noise sources;artefacts caused by electromyography (EMG) and power line noise (Hum). Copyright 2016 ACM.

关键词： Singular value decomposition

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Application of a Hybrid Neural Fuzzy Inference System to Forecast Solar Intensity

Application of a Hybrid Neural Fuzzy Inference System to For...

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International Workshop on Database and Expert Systems Applications

作者： Francisco Silva Brígida Teixeira Nuno Teixeira Tiago Pinto Isabel Praça Zita Vale GECAD Knowledge Engineering and Decision Support Research Center Porto Portugal

ISBN: (纸本)9781509036363

This paper presents a proposal for the use of the Hybrid Fuzzy Inference System algorithm (HyFIS) as solar intensity forecast mechanism. Fuzzy Inference Systems (FIS) are used to solve regression problems in various contexts. The HyFIS is a method based on FIS with the particular advantage of combining fuzzy concepts with Artificial Neural Networks (ANN), thus optimizing the learning process. This algorithm is part of several other FIS algorithms implemented in the Fuzzy Rule-Based Systems (FRBS) package of R. The ANN algorithms and support Vector Machine (SVM), both widely used for solving regression problems, are also used in this study to allow the comparison of results. Results show that HyFIS presents higher performance when compared to the ANN and SVM, when applied to real data of Florianopolis, Brazil, which helps to reinforce the potential of this algorithm in solving the solar intensity forecasting problems.

关键词： Forecasting support vector machines Artificial neural networks Fuzzy logic Training Inference algorithms

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Reconfiguration of Distributed Generation scheduling to increase demand response integration

Reconfiguration of Distributed Generation scheduling to incr...

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International Conference on European Electricity Market, EEM

作者： João Spínola Pedro Faria Zita Vale GECAD - Knowledge Engineering and Decision-Support Research Center Porto Portugal

Demand Response integration into an intelligent power system brings the consumers several advantages, not just in terms of lower energy tariffs, but also the benefit of monetary incentives for their participation. In this paper, an aggregator proceeds to perform the resources scheduling in order to reduce operational costs. After the scheduling, three reduction levels are applied to the most expensive producers. The value of reduction made by the producers is then followed by consumer's load decrease, considering their participation in an incentive-based demand response program. The prices applied to consumers depend upon the weighted average of production tariffs by type of resource. The considered network for the case study has 548 distributed generators, 10 external suppliers and 20310 consumers. Results show that the energy price can be reduced by implementing demand resources into the network scheduling, removing the most expensive producers.

关键词： Generators Mathematical model Power systems Linear programming Cogeneration Scheduling

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Microgrid demonstration gateway for players communication and load monitoring and management

Microgrid demonstration gateway for players communication an...

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Clemson University Power Systems Conference (PSC)

作者： Luis Gomes Jorge Silva Pedro Faria Zita Vale GECAD - Knowledge Engineering and Decision Support Research Center Polytechnic of Porto (IPP) Porto Portugal

The integration of decentralized generation units and the application of demand response programs brings changes to the power systems. Microgrids are emerging with relevant advantages for the power system operation. For this reason, several research projects are currently studding and finding methods to improve microgrids management. The development of adequate management systems, taking into account relevant retrofitting levels is of upmost importance. This paper presents and describes a gateway to be used in existing buildings in order to enable their integration in systems that are capable of managing microgrids. The gateway can monitor and control loads, generators and other equipment. For the case study the gateways will be installed in three buildings and integrated in SOICAM system able to manage microgrids. The results show the data retrieved by the gateways and sent to the central operation room.

关键词： Logic gates Microgrids Protocols Buildings Transceivers Wireless communication Zigbee

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Evaluating the effectiveness of Bayesian and Neural Networks for Adaptive Schedulling Systems

Evaluating the effectiveness of Bayesian and Neural Networks...

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IEEE Symposium Series on Computational Intelligence (SSCI)

作者： Bruno Cunha Ana Madureira João Paulo Pereira Ivo Pereira GECAD - Knowledge Engineering and Decision Support Research Center School of Engineering - Polytechnic of Porto (ISEP/IPP) Porto Portugal

The ability to adjust itself to users' profile is imperative in modern system, given that many people interact with a lot of information in different ways. The creation of adaptive systems is a complex domain that requires very specific methods and the integration of several intelligent techniques, from an intelligent systems development perspective. Designing an adaptive system requires planning and training of user modelling techniques combined with existing system components. Based on the architecture for user modelling on Intelligent and Adaptive Scheduling Systems, this paper presents an analysis of using the mentioned architecture to characterize user's behaviours and a case study comparing the employment of different user classifiers. Bayesian and Artificial Neural Networks were selected as the elements of the computational study and this paper presents a description on how to prepare them to deal with user information.

关键词： Adaptation models Human computer interaction Job shop scheduling Artificial neural networks Bayes methods Computational modeling Computers

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Electrical Energy Consumption Forecast Using support Vector Machines

Electrical Energy Consumption Forecast Using Support Vector ...

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International Workshop on Database and Expert Systems Applications

作者： Eugénia Vinagre Tiago Pinto Sérgio Ramos Zita Vale Juan M. Corchado Polytechnic of Porto GECAD - Knowledge Engineering and Decision Support Research Center Portugal BISITE Research Centre University of Salamanca Salamanca Spain

ISBN: (纸本)9781509036363

Smart Grid (SG) concept is defined as an electricity network operated intelligently to integrate the behavior and actions of all energy resources connected to the network to ensure efficient, sustainable, economic and secure supply of electricity. This concept emerged in recent decades not only for economic reasons but also ecological and even political. SG have been the subject of major studies and investments and continues to represent an area of enormous challenges. Some of the problems of intelligent systems connected to the managed SG are: the real-time processing optimization algorithms and demand response programs; and more accurate predictions in the management of production and consumption. This paper presents a case study for evaluating the performance and accuracy of energy consumption forecast with use of SVM (support Vector Machines) in different frameworks.

关键词： support vector machines Business Forecasting Training data Optimization Kernel MATLAB

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Publishing real-time microgrid consumption data on the web of Linked Data

Publishing real-time microgrid consumption data on the web o...

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Clemson University Power Systems Conference (PSC)

作者： Luis Gomes Maxime Lefrançois Pedro Faria Zita Vale GECAD - Knowledge Engineering and Decision Support Research Center Polytechnic of Porto (IPP) Porto Portugal École Nationale Supérieure des Mines Laboratoire Hubert Curien Saint-Etienne France

Decentralising the power systems management brings clear advantages for the grid and for the stakeholders (consumers, generators, operational and management actors). The grid decentralisation can be achieved using microgrids. Some microgrids emerge worldwide, working as small energy islands. It is admitted that ontologies and open (Semantic) Web standards can form a basis for advanced communication architectures in smart grids. True, ontologies enable semantic interoperability and logical reasoning; the Linked Data principles enable the discovery of new information on the web. This paper reports on the use of these formalisms and principles to develop a new information system for a microgrid site already in place. More specifically, we developed a new ontology to represent time series of multiple observations, and made real-time consumption data available on the web as Linked Data. This enables consumption reporting, and enables other researchers to test their algorithms against real-time consumption data.

关键词： Microgrids Buildings Semantic Web Phase measurement Reactive power Smart grids Real-time systems

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