963 resultados para Montana Power Company
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A report outlining the expenses of loss due to ice from the year 1938 through 1941 at the Rankine Station. Included in the report is the lost income due to power outages, operating labour, operating material and the sum of these costs per annum.
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A notification from the Canadian Niagara Power Co. detailing a rate increase for domestic customers. Two schedules are listed, one for customers under 1,000 watts and the other for customers over 1,000 watts.
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A letter from J. M. Bromley regarding the commission of the seal for the Canadian Niagara Power Company.
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Letter to W.D. Woodruff from E.E. Black of N.W. Harris and Co. Bankers of New York (1 page, printed), which accompanied a bill showing $10,000 due on the Dominion Power Company, July 23, 1907.
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Letter to W.D. Woodruff from E.E. Black of N.W. Harris and Co. Bankers of New York (1 page, printed) regarding $41,000 in Dominion Power Company bonds that they have put in safekeeping, Oct. 30, 1907.
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Letter to W.D. Woodruff from Mr. Harris of N.W. Harris and Co. Bankers of New York (1 page, printed) which accompanied a receipt for the $41,000 Dominion Power Company bonds, Nov. 4, 1907.
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Letter to W.D. Woodruff from E.C. Wheeler Jr. of N.W. Harris and Co. Bankers of New York (1 page, printed) saying that he is pleased that Mr. Woodruff has decided to take the $10,000 Dominion Powers at 90 and interest. They will expect Mr. Woodruff in a few days, Dec. 10, 1907.
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Urban air pollution and climate are closely connected due to shared generating processes (e.g., combustion) for emissions of the driving gases and aerosols. They are also connected because the atmospheric lifecycles of common air pollutants such as CO, NOx and VOCs, and of the climatically important methane gas (CH4) and sulfate aerosols, both involve the fast photochemistry of the hydroxyl free radical (OH). Thus policies designed to address air pollution may impact climate and vice versa. We present calculations using a model coupling economics, atmospheric chemistry, climate and ecosystems to illustrate some effects of air pollution policy alone on global warming. We consider caps on emissions of NOx, CO, volatile organic carbon, and SOx both individually and combined in two ways. These caps can lower ozone causing less warming, lower sulfate aerosols yielding more warming, lower OH and thus increase CH4 giving more warming, and finally, allow more carbon uptake by ecosystems leading to less warming. Overall, these effects significantly offset each other suggesting that air pollution policy has a relatively small net effect on the global mean surface temperature and sea level rise. However, our study does not account for the effects of air pollution policies on overall demand for fossil fuels and on the choice of fuels (coal, oil, gas), nor have we considered the effects of caps on black carbon or organic carbon aerosols on climate. These effects, if included, could lead to more substantial impacts of capping pollutant emissions on global temperature and sea level than concluded here. Caps on aerosols in general could also yield impacts on other important aspects of climate beyond those addressed here, such as the regional patterns of cloudiness and precipitation.
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En este documento, el lector encontrará aspectos teóricos que le permitirán entender los conceptos de liderazgo y poder, mediante la inclusión de tópicos como la evolución y escenarios en los cuales éstos se han venido desarrollando. Con el fin de que el lector genere su propia configuración del líder, el trabajo contiene además la categorización y estilos de liderazgo y las fuentes y usos del poder. Conjuntamente se resaltará la labor del líder y el manejo de su poder dentro de las organizaciones desde un marco competitivo y global, teniendo en cuenta su efectividad, sus distinciones y diferentes manifestaciones. Además, se logra determinar la comunicación y visión del líder como un factor determinante en el entorno empresarial.
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A Brazilian Traction, Light and Power Company ("Light"), formada por empreendedores canadenses em 1899, operou por 80 anos praticamente toda a infraestrutura (bondes, luz, telefones, gás) do eixo Rio-São Paulo. A empresa passou por vários ciclos políticos, desde sua fundação até sua estatização em 1979. Durante este período de 80 anos, a infra-estrutura nacional, inicialmente privada, foi gradativamente passando para as mãos do Estado. O setor voltaria a ser privado a partir dos anos 90, configurando o ciclo privado-público-privado, similar ao ocorrido nos países mais desenvolvidos. A Light, símbolo maior do capital estrangeiro até os anos 50, foi inicialmente bem recebida no país, posto que seu desenvolvimento era simbiótico, causa e conseqüência, ao desenvolvimento industrial. Dos anos 20 em diante, crescem os debates econômicos ou ideológicos quanto ao papel do capital privado estrangeiro no desenvolvimento nacional, vis-a-vis a opção do setor público como ator principal. Sempre permaneceu sob névoa quais teriam sido os lucros da Light no Brasil, e se esses seriam excessivos, acima do razoável. Outra questão recorrente se refere até que ponto os congelamentos de tarifas teriam contribuido para a crise de oferta de infra-estrutura. Através de um trabalho de pesquisa em fontes primárias, esta dissertação procura reconstituir a história da Light, sob um foco de Taxa de Retorno sob o capital investido. Foi reconstruída a história financeira da Light no Brasil, a partir da qual calculou-se, para vários períodos e para os seus 80 anos de vida, os retornos obtidos pelos acionistas da empresa. A partir dos resultados obtidos, e utilizando-se de benchmarks comparativos, foi possível mostrar que: i) ao contrário da crença vigente à época, o retorno obtido pelo maior investidor estrangeiro no setor de infra-estrutura do Brasil do Séc. XX, se mostrou bem abaixo do mínimo aceitável, e ii) o represamento de tarifas, por várias décadas, foi de fato determinante para o subdesenvolvimento do setor de infra-estrutura no Brasil.
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This paper approaches the strategy in business management and aimed at identifying and outlining the interests and commitment of stakeholders in strategic resources management concerning production and implementation of wind turbine equipment of a Brazilian wind power company and also verifying if internal and external results deriving from such activities were sustainable, taking as main reference seminal publications and periodicals relevant to the research point that discuss the Resource Theory, Stakeholders and Sustainability. An analysis was carried out to assess how stakeholders, beyond the temporal context, intermediated the composition, development and management of the organization´s resources, as well as the social, environmental and economic results obtained from resources management in the production and supply of wind turbines to a Wind Power Plant located in the State of Ceara, in order to portray that Brazil sustainability can be an important competitive advantage source that creates value for shareholders and the community (Hart & Milstein, 2003). The strategy herein applied was the qualitative investigation using a single study case, which allowed for the thorough examination of an active organization operating in the Brazilian industry of wind power and also the resources used in the production and implementation of wind turbines supplied to the a Wind Power Plant in Ceara. Considering the content analysis and the triangulation principle, three qualitative data collection methods were applied to identify and characterize stakeholders’ interest and commitment in resource management of the organization operating in the Brazilian wind power industry, as follows, semistructured deep interview with managers of tactic-strategic level and analysts of organization´s value chain nine activities, analysis of public internal and external documents; and analysis of audio-visual material. Nonetheless, to identify the internal and external economic, social and environmental results of implementation and supply of wind turbines to the Wind Power Plant in Ceara, semistructured interviews were also carried out with the residents of the region. Results showed the BNDES (Brazilian Development Bank) and the organization head office were the stakeholders who exerted the strongest influence on resources related to production and implementation of the aerogenerator product at Trairi Wind Plant in Ceara. Concerning the organization resources, at the current stage of the Brazilian Wind Industry ,although the brand, reliability and reputation of the organization under study were valuable esources, rare, hard to imitate and exploited by the organization, it was noticed that opposed to RBV, they did not actually represent a source of competitive advantage . For the local community the social, economic and environmental results related to the wind turbines implementation were more positive than negative, despite the fact that the productive process caused negative environmental impacts such as the high emission of CO2 to transport wind turbines components to Trairi Wind Power Plant.
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Fraud detection in energy systems by illegal consumers is the most actively pursued study in non-technical losses by electric power companies. Commonly used supervised pattern recognition techniques, such as Artificial Neural Networks and Support Vector Machines have been applied for automatic commercial frauds identification, however they suffer from slow convergence and high computational burden. We introduced here the Optimum-Path Forest classifier for a fast non-technical losses recognition, which has been demonstrated to be superior than neural networks and similar to Support Vector Machines, but much faster. Comparisons among these classifiers are also presented. © 2009 IEEE.
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Non-technical losses identification has been paramount in the last decade. Since we have datasets with hundreds of legal and illegal profiles, one may have a method to group data into subprofiles in order to minimize the search for consumers that cause great frauds. In this context, a electric power company may be interested in to go deeper a specific profile of illegal consumer. In this paper, we introduce the Optimum-Path Forest (OPF) clustering technique to this task, and we evaluate the behavior of a dataset provided by a brazilian electric power company with different values of an OPF parameter. © 2011 IEEE.
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This work has as objectives the implementation of a intelligent computational tool to identify the non-technical losses and to select its most relevant features, considering information from the database with industrial consumers profiles of a power company. The solution to this problem is not trivial and not of regional character, the minimization of non-technical loss represents the guarantee of investments in product quality and maintenance of power systems, introduced by a competitive environment after the period of privatization in the national scene. This work presents using the WEKA software to the proposed objective, comparing various classification techniques and optimization through intelligent algorithms, this way, can be possible to automate applications on Smart Grids. © 2012 IEEE.
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The non-technical loss is not a problem with trivial solution or regional character and its minimization represents the guarantee of investments in product quality and maintenance of power systems, introduced by a competitive environment after the period of privatization in the national scene. In this paper, we show how to improve the training phase of a neural network-based classifier using a recently proposed meta-heuristic technique called Charged System Search, which is based on the interactions between electrically charged particles. The experiments were carried out in the context of non-technical loss in power distribution systems in a dataset obtained from a Brazilian electrical power company, and have demonstrated the robustness of the proposed technique against with several others nature-inspired optimization techniques for training neural networks. Thus, it is possible to improve some applications on Smart Grids. © 2013 IEEE.