977 resultados para Dominion Power Company


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This dissertation applies a variety of quantitative methods to electricity and carbon market data, utility company accounts data, capital and operating costs to analyse some of the challenges associated with investment in energy assets. In particular, three distinct research topics are analysed within this general theme: the efficiency of interconnector trading, the optimal sizing of intermittent wind facilities and the impact of carbon pricing on the cost of capital for investors are researched in successive sections.

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Power systems are planed and operated according to the optimization of the available resources. Traditionally these tasks were mostly undertaken in a centralized way which is no longer adequate in a competitive environment. Demand response can play a very relevant role in this context but adequate tools to negotiate this kind of resources are required. This paper presents an approach to deal with these issues, by using a multi-agent simulator able to model demand side players and simulate their strategic behavior. The paper includes an illustrative case study that considers an incident situation. The distribution company is able to reduce load curtailment due to load flexibility contracts previously established with demand side players.

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The lithograph, "General view of lands, tunnel and docks of Niagara River Hydraulic Tunnel, Power and Sewer Company," called for p. [4] in the Index, has been removed and encapsulated, and is shelved separately.

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On February 29, 1912 The Ontario Paper Company Limited was incorporated under the leadership of Col. Robert R. McCormick. Four months later construction began in Thorold, Ontario as this location was best for the abundance of power and water and water transportation. The first machine was started at the mill on September 5, 1913. The mill was one of the most advanced of its era, using electricity instead of water power. The mill was also the first of its kind as it combined pulp and paper making instead of separating the two operations.

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The Q.N.S. [Quebec North Shore Paper Company] newsprint mill started in 1937 at Baie Comeau in Quebec. Being the first major industry in that area at the time, harbour facilities, a power station and an entire community was built around the mill. In 1952, a power station was built at the first falls of the Manicouagan River. The station generated much more power than necessary for the mill, but attracted an aluminum smelter a few years later in 1958.

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The Electrical Development Company of Ontario was created in 1903. It was one of three private power companies that had water power leases with the Niagara Parks Commission, but was the only one that was financed with Canadian capital. The company built the Toronto Power Generating Station at Niagara Falls beginning in 1906, and the power house was completed in 1913. During the construction, there was much debate about whether the utility should remain privately operated or become a public utility. In 1920, the company became part of the public utility.

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Fourth Annual Report of The Electrical Development Company of Ontario Limited for for the year 1906. The report discusses the main line between Niagara Falls and Toronto and the line between the Township of Pelham and the city of Brantford. The report also details the purchase of stocks and bonds in several different companies.

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A booklet of rules and regulations for industrial alcohol. A portion of the preparatory note reads: "We endeavoured to bring together in this booklet as much information as possible regarding the Dominion and Provincial rules and regulations at present in force controlling the sale and use of Alcohol for manufacturing, etc."

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Telegram from Montreal and Dominion Telegraph Companies’ Lines to Louis Cabot stating that Mr. Woodruff has arranged to transfer the shares, Jan. 18, 1886.

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Telegram from Montreal and Dominion Telegraph Companies’ Lines form with a note on it saying “will wait for receipt”[ no sender nor receiver listed, most likely Louis Cabot to Samuel D. Woodruff], 1886.

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Short term load forecasting is one of the key inputs to optimize the management of power system. Almost 60-65% of revenue expenditure of a distribution company is against power purchase. Cost of power depends on source of power. Hence any optimization strategy involves optimization in scheduling power from various sources. As the scheduling involves many technical and commercial considerations and constraints, the efficiency in scheduling depends on the accuracy of load forecast. Load forecasting is a topic much visited in research world and a number of papers using different techniques are already presented. The accuracy of forecast for the purpose of merit order dispatch decisions depends on the extent of the permissible variation in generation limits. For a system with low load factor, the peak and the off peak trough are prominent and the forecast should be able to identify these points to more accuracy rather than minimizing the error in the energy content. In this paper an attempt is made to apply Artificial Neural Network (ANN) with supervised learning based approach to make short term load forecasting for a power system with comparatively low load factor. Such power systems are usual in tropical areas with concentrated rainy season for a considerable period of the year

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With the advance of information technology capabilities, and the importance of human computer interfaces within society there has been a significant increase in research activity within the field of human computer interaction (HCI). This paper summarizes some of the work undertaken to date, paying particular attention to methods applicable to on-line control and monitoring systems such as those employed by The National Grid Company plc.

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Linear models of market performance may be misspecified if the market is subdivided into distinct regimes exhibiting different behaviour. Price movements in the US Real Estate Investment Trusts and UK Property Companies Markets are explored using a Threshold Autoregressive (TAR) model with regimes defined by the real rate of interest. In both US and UK markets, distinctive behaviour emerges, with the TAR model offering better predictive power than a more conventional linear autoregressive model. The research points to the possibility of developing trading rules to exploit the systematically different behaviour across regimes.

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This article examines a little known decision of the Judicial Committee of the Privy Council: Grand Trunk Railway Company of Canada v Robinson (1915). The examination is historical and it provides a different insight into the understanding of privity of contract, a doctrine central to contract law. The examination reveals a process of trans-Atlantic legal migration in which English law was applied to resolve an Ontario case. The nature of the resolution is surprising because it appears to conflict with the better known decision of the House of Lords, Dunlop Pneumatic Tyre Company, Limited v Selfridge and Company, Limited, which a similarly constituted panel delivered in the same week. This article argues that there was a greater malleability in the resolution of cases concerned with privity than was thought to have existed. It is also argued that the power of Canadian railway capitalism is a significant factor in understanding the legal resolution of the case. Finally, it the article considers the use of English and American precedents relevant to the case. The application of English precedents to the case led to a resolution not entirely befitting Canadian conditions.