960 resultados para Real Electricity Markets Data


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Thermal generation is a vital component of mature and reliable electricity markets. As the share of renewable electricity in such markets grows, so too do the challenges associated with its variability. Proposed solutions to these challenges typically focus on alternatives to primary generation, such as energy storage, demand side management, or increased interconnection. Less attention is given to the demands placed on conventional thermal generation or its potential for increased flexibility. However, for the foreseeable future, conventional plants will have to operate alongside new renewables and have an essential role in accommodating increasing supply-side variability. This paper explores the role that conventional generation has to play in managing variability through the sub-system case study of Northern Ireland, identifying the significance of specific plant characteristics for reliable system operation. Particular attention is given to the challenges of wind ramping and the need to avoid excessive wind curtailment. Potential for conflict is identified with the role for conventional plant in addressing these two challenges. Market specific strategies for using the existing fleet of generation to reduce the impact of renewable resource variability are proposed, and wider lessons from the approach taken are identified.

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We propose two new residuals for the class of beta regression models, and numerically evaluate their behaviour relative to the residuals proposed by Ferrari and Cribari-Neto. Monte Carlo simulation results and empirical applications using real and simulated data are provided. The results favour one of the residuals we propose.

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Intelligent Transportation System (ITS) is a system that builds a safe, effective and integrated transportation environment based on advanced technologies. Road signs detection and recognition is an important part of ITS, which offer ways to collect the real time traffic data for processing at a central facility.This project is to implement a road sign recognition model based on AI and image analysis technologies, which applies a machine learning method, Support Vector Machines, to recognize road signs. We focus on recognizing seven categories of road sign shapes and five categories of speed limit signs. Two kinds of features, binary image and Zernike moments, are used for representing the data to the SVM for training and test. We compared and analyzed the performances of SVM recognition model using different features and different kernels. Moreover, the performances using different recognition models, SVM and Fuzzy ARTMAP, are observed.

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The objective of this study is to develop a Pollution Early Warning System (PEWS) for efficient management of water quality in oyster harvesting areas. To that end, this paper presents a web-enabled, user-friendly PEWS for managing water quality in oyster harvesting areas along Louisiana Gulf Coast, USA. The PEWS consists of (1) an Integrated Space-Ground Sensing System (ISGSS) gathering data for environmental factors influencing water quality, (2) an Artificial Neural Network (ANN) model for predicting the level of fecal coliform bacteria, and (3) a web-enabled, user-friendly Geographic Information System (GIS) platform for issuing water pollution advisories and managing oyster harvesting waters. The ISGSS (data acquisition system) collects near real-time environmental data from various sources, including NASA MODIS Terra and Aqua satellites and in-situ sensing stations managed by the USGS and the NOAA. The ANN model is developed using the ANN program in MATLAB Toolbox. The ANN model involves a total of 6 independent environmental variables, including rainfall, tide, wind, salinity, temperature, and weather type along with 8 different combinations of the independent variables. The ANN model is constructed and tested using environmental and bacteriological data collected monthly from 2001 – 2011 by Louisiana Molluscan Shellfish Program at seven oyster harvesting areas in Louisiana Coast, USA. The ANN model is capable of explaining about 76% of variation in fecal coliform levels for model training data and 44% for independent data. The web-based GIS platform is developed using ArcView GIS and ArcIMS. The web-based GIS system can be employed for mapping fecal coliform levels, predicted by the ANN model, and potential risks of norovirus outbreaks in oyster harvesting waters. The PEWS is able to inform decision-makers of potential risks of fecal pollution and virus outbreak on a daily basis, greatly reducing the risk of contaminated oysters to human health.

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Este trabalho de conclusão investiga o efeito da geração de estoques intermediários nos indicadores principais empregados na Teoria das Restrições (Ganho, Despesa Operacional e Inventário) em uma unidade industrial de processo produtivo de Propriedade contínuo, que emprega embalagens, matérias-primas obtidas em larga escala e cadeias logísticas de longo curso. Este tipo de indústria produz bens de consumo imediato, com pouca variabilidade, de modo “empurrado”. A principal conseqüência é a perda do sincronismo na cadeia logística, resultando em uma grande quantidade de estoques intermediários e custos crescentes, relacionados principalmente ao custo de manutenção destes estoques. Através dos cinco passos de focalização e das ferramentas lógicas da Teoria das Restrições, propõe-se uma alternativa gerencial, que inclui o algoritmo Tambor-Pulmão-Corda e insere a organização em um processo de melhoria contínua, cujos impactos são avaliados por simulação computacional. Através de técnicas estatísticas e software apropriados, constrói-se um modelo de simulação computacional baseado em dados reais de uma planta produtora de cimento. A partir deste modelo, diferentes cenários são testados, descobrindo-se a condição ótima. Chega-se a uma conclusão, considerando a mudança na política de geração de estoques intermediários e seus impactos na redução de custos e riscos.

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The most important issues in auction design are the traditional concerns of competition policy preventing collusive, predatory, and entry-deterring behaviour. Ascending and uniform-price auctions are particularly vulnerable to these problems, and the Anglo-Dutch auction a hybrid of the sealed-bid and ascending auctions may often perform better. Effective anti-trust policy is also critical. However, everything depends on the details of the context; the circum- stances of the recent U.K. mobile-phone license auction made an ascending format ideal, but this author (and others) correctly predicted the same for- mat would fail in the Netherlands and elsewhere. Auction design is not one size Þts all . We also discuss the 3G spectrum auctions in Germany, Italy, Austria and Switzerland, and football TV-rights, TV franchise and other radiospectrum auctions, electricity markets, and takeover battles.

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Real exchange rate is an important macroeconomic price in the economy and a ects economic activity, interest rates, domestic prices, trade and investiments ows among other variables. Methodologies have been developed in empirical exchange rate misalignment studies to evaluate whether a real e ective exchange is overvalued or undervalued. There is a vast body of literature on the determinants of long-term real exchange rates and on empirical strategies to implement the equilibrium norms obtained from theoretical models. This study seeks to contribute to this literature by showing that it is possible to calculate the misalignment from a mixed ointegrated vector error correction framework. An empirical exercise using United States' real exchange rate data is performed. The results suggest that the model with mixed frequency data is preferred to the models with same frequency variables

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This dissertation is the result of concerns with the theoretical-methodological and pedagogical learning processes occurred in the practice of physical education in school, which accompany me since the initial training, when I experienced learning in a piecemeal fashion, focused on technicality and sportivization. In order to better qualify the pedagogical interventions of physical education in school, I have always been worried on applying what I received at the University, but the routine of classes was always demanding others doings. In this sense, there were many moments of epistemological ruptures occurred in my training, in which I always sought new investment in training to account for the provision of a more humanistic and grounded in real educational precepts physical education. To that end I had to reflect on the pedagogical interventions throughout my training, in order not to carry out the activities as heavy doings, but as metamorphoses of knowledge and thus generating learning for students. Thus, this dissertation fits into this context with the overall goal of discussing my professional career, considering the epistemological ruptures of Physical Education, occurred in my training and expertise. The objective is also to identify the contributions of these formations in professional activities, centered on storytelling and reflection of significant experiences in the teaching of sports and Physical Education. We highlight the paradigm shifts, leaving the gymnastic methods, through dance-physical education method, psychomotor, reaching the contemporary critical theories experienced from the culture of movement as well as its implications for professional practice. We chose a qualitative research, using the autobiographical method, using as sources or techniques, narratives, photographic recording and video samples. In the studies within the area of education, for the most part, qualitative research came to oppose the positivist view of the quantification on analysis of social phenomena. New ideas were appearing in order to present innovative perspectives to understand the real. The survey data will be presented in narrated form (descriptive), analyzed based on the theoretical framework that guides the study, especially authors who discuss school physical education, vocational training and body conception. We believe our study may be of relevance for training in Physical Education that as from pedagogical reflections in certain historical realities, envisions being able to open new perspectives for the performance of other physical education teachers

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The purpose of this paper is to identify the utilization of two models of orthotics used in the conservative treatment of rizartrose in patients/consumers that were referred by the medical clinic to the LAI (Laboratory of Integrated Accessibility). It describes this group s perception related to the functional aspects of the two models, evaluates the value of the product attributed by the patient/consumer and describes the importance attributed to each model. The research s objective consists in identifying which model this is preferred from the point of view by the patients that use either the dorsal or ventral models used in the conservative treatment of rizartrose . This work is then based on the exploratory research through the investigation of the bibliography available and in the research field. The research field used the case study methodology to investigate the phenomenon in the real context. The data were collected using a patient questionnaire during two times after the use of the dorsal orthotic and after the use of the ventral orthotic. The questionnaire was used to identify the relationship between the patients/consumers and the two different types of orthotics. A general descriptive analysis was used in order to verify the patient s abilities executing certain activities daily living using the dorsal and ventral orthotics, the product s functional aspects and its value from the patient s/consumer s point of view. The results show that the preference for the dorsal or ventral models is determined by the individual needs of each person. The results also show that other variables, such as the use of the orthotic on the dominant or non-dominant hand, play a role in the preferred model by the patient/consumer and need to be further investigated

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In a real process, all used resources, whether physical or developed in software, are subject to interruptions or operational commitments. However, in situations in which operate critical systems, any kind of problem may bring big consequences. Knowing this, this paper aims to develop a system capable to detect the presence and indicate the types of failures that may occur in a process. For implementing and testing the proposed methodology, a coupled tank system was used as a study model case. The system should be developed to generate a set of signals that notify the process operator and that may be post-processed, enabling changes in control strategy or control parameters. Due to the damage risks involved with sensors, actuators and amplifiers of the real plant, the data set of the faults will be computationally generated and the results collected from numerical simulations of the process model. The system will be composed by structures with Artificial Neural Networks, trained in offline mode using Matlab®

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This dissertation is about new real estate development in the southward expansion area in Natal, Brazil, by use of high-rise condos, so-called club-condominiums. The area includes part of the neighboring municipality, Parnamirim, and focuses on the role played by urban developers in the housing market. The main feature in these condos are common areas filled with leisure equipments, allegedly to grant quality of life, comfort and tranquility to residents. The rapid development of the area takes advantage of large plots of land available as well as of urban infrastructure. Overall preference of middle-class sectors for the South area of Natal (and adjoining part of Parnamirim) is also a factor worth of note. For this reason, this part of the city constitutes one of the preferred areas of urban developers. This dissertation includes a discussion of Henri Lefebvre s production of space, emphasizing its tridimensional features. It draws on David Harvey s works to deal with transformations of the built environment regarding the dynamics of real estate markets; in particular, it considers the idea of creative destruction. Finally, the dissertation discusses the concepts developed by Pedro Abramo regarding the forms of operation by urban entrepreneurs, in particular the concepts of urban convention and spatial innovation. For the empirical work, a number of interviews with key entrepreneurs and civil servants were undertaken. In more general terms, it is worth observing that there is a direct relationship between the location of such developments and the process of spatial fragmentation, seen both as a consequence and a strategy of the way urban developers operate

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Este trabalho apresenta um método rápido de inversão de matrizes densas, e uma possível aplicação com métodos de Vectoring, em pré-codificação e cancelamento de crosstalk de sistemas xDSL. A família de tecnologias xDSL utiliza os pares trançados de fios de cobre telefônicos como meio físico para transmitir dados digitais. O crosstalk é a principal causa de degradação de sinais na mais nova geração de sistemas xDSL, o G.fast, e para combatê-lo são utilizadas técnicas de pré-codificação e cancelamento, chamadas de Vectoring. O método proposto, chamado de GSGR, consiste em uma abordagem diferente para o método clássico de Squared Givens Rotations (SGR), adequado a implementações em plataformas embarcadas de processamento digital de sinais. Foram realizados testes comparativos do método GSGR com métodos diretos clássicos de inversão, utilizando uma plataforma digital multicore baseada no chip TI DSP TMS320C6670 e a plataforma de software Matlab. Os resultados dos testes de inversão de matrizes usando dados reais e dados simulados mostraram que o GSGR foi superior em velocidade de execução sem apresentar perdas significativas de acurácia para a aplicação em sistemas xDSL.

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Pós-graduação em Engenharia Elétrica - FEIS