805 resultados para Forecasting of electricity market prices


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Thesis (Ph.D.)--University of Washington, 2016-06

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Power systems rely greatly on ancillary services in maintaining operation security. As one of the most important ancillary services, spinning reserve must be provided effectively in the deregulated market environment. This paper focuses on the design of an integrated market for both electricity and spinning reserve service with particular emphasis on coordinated dispatch of bulk power and spinning reserve services. A new market dispatching mechanism has been developed to minimize the ISO's total payment while ensuring system security. Genetic algorithms are used in the finding of the global optimal solutions for this dispatching problem. Case studies and corresponding analyses haw been carried out to demonstrate and discuss the efficiency and usefulness of the proposed market.

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In a deregulated electricity market, optimizing dispatch capacity and transmission capacity are among the core concerns of market operators. Many market operators have capitalized on linear programming (LP) based methods to perform market dispatch operation in order to explore the computational efficiency of LP. In this paper, the search capability of genetic algorithms (GAs) is utilized to solve the market dispatch problem. The GA model is able to solve pool based capacity dispatch, while optimizing the interconnector transmission capacity. Case studies and corresponding analyses are performed to demonstrate the efficiency of the GA model.

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Non-technical losses (NTL) identification and prediction are important tasks for many utilities. Data from customer information system (CIS) can be used for NTL analysis. However, in order to accurately and efficiently perform NTL analysis, the original data from CIS need to be pre-processed before any detailed NTL analysis can be carried out. In this paper, we propose a feature selection based method for CIS data pre-processing in order to extract the most relevant information for further analysis such as clustering and classifications. By removing irrelevant and redundant features, feature selection is an essential step in data mining process in finding optimal subset of features to improve the quality of result by giving faster time processing, higher accuracy and simpler results with fewer features. Detailed feature selection analysis is presented in the paper. Both time-domain and load shape data are compared based on the accuracy, consistency and statistical dependencies between features.

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Selection of a power market structure from the available alternatives is an important activity within an overall power sector reform programme. The evaluation criteria for selection are both subjective as well as objective in nature and the selection of alternatives is characterised by their conflicting nature. This study demonstrates a methodology for power market structure selection using the analytic hierarchy process (AHP), a multiple attribute decision-making technique, to model the selection methodology with the active participation of relevant stakeholders in a workshop environment. The methodology is applied to a hypothetical case of a State Electricity Board reform in India.

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The impact of service direction, service training and staff behaviours on perceptions of service delivery are examined. The impact of managerial behaviour in the form of internal market orientation (IMO) on the attitudes of frontline staff towards the firm and its consequent influence on their customer oriented behaviours is also examined. Frontline service staff working in the consumer transport industry were surveyed to provide subjective data about the constructs of interest in this study, and the data were analysed using structural equations modelling employing partial least squares estimation. The data indicate significant relationships between internal market orientation (IMO), the attitudes of the employees to the firm and their consequent behaviour towards customers. Customer orientation, service direction and service training are all identified as antecedents to high levels of service delivery. The study contributes to marketing theory by providing quantitative evidence to support assumptions that internal marketing has an impact on services success. For marketing practitioners, the research findings offer additional information about the management, training and motivation of service staff towards service excellence.

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This article is an abbreviated version of a debate between two economists holding somewhat different perspectives on the nature of non-market production in the space of new digital media. While the ostensible focus here is on the role of markets in the innovation of new technologies to create new economic value, this context also serves to highlight the private and public value of digital literacy.

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The economiser is a critical component for efficient operation of coal-fired power stations. It consists of a large system of water-filled tubes which extract heat from the exhaust gases. When it fails, usually due to erosion causing a leak, the entire power station must be shut down to effect repairs. Not only are such repairs highly expensive, but the overall repair costs are significantly affected by fluctuations in electricity market prices, due to revenue lost during the outage. As a result, decisions about when to repair an economiser can alter the repair costs by millions of dollars. Therefore, economiser repair decisions are critical and must be optimised. However, making optimal repair decisions is difficult because economiser leaks are a type of interactive failure. If left unfixed, a leak in a tube can cause additional leaks in adjacent tubes which will need more time to repair. In addition, when choosing repair times, one also needs to consider a number of other uncertain inputs such as future electricity market prices and demands. Although many different decision models and methodologies have been developed, an effective decision-making method specifically for economiser repairs has yet to be defined. In this paper, we describe a Decision Tree based method to meet this need. An industrial case study is presented to demonstrate the application of our method.

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For the Australian fashion industry to move towards a more socially and environmentally ethical industry, change to existing processes would need to occur in all market levels. Change is particularly needed in the mass market, where larger volumes inevitably lead to greater environmental impact. Recent trends in eco fashion have waxed and waned, with only minor impact on the methodology of the mass market design process, with greenwashing and confusion of concepts being common problems. In the mass market, the product lifecycle begins in the design room and ends on the retail floor. A design process for sustainability necessarily expands this lifecycle, assessing the impact of every stage in the life of a fashion garment from the fibre and textiles through to consumer use, to eventual disposal and beyond disposal to fibre recycling and reuse or resale. However, how easy is it for designers to consider a wider view of the product lifecycle in their design process? How much autonomy do they have over their design process, and where do they believe their responsibility begins and ends for the garments they design? This paper will present some preliminary findings from interviews with designers in the Australian women’s wear mass market, revealing their concerns and views on the challenges of a sustainability for their industry.

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Purpose This paper explores how firms from a Latin American market internationalise using the resource-based view (RBV) of the firm as a theoretical foundation. Specifically, it examines the internationalisation process of three Chilean companies that have become relevant international players. Design/methodology/approach Drawing on interviews with company managers, as well as industry data and corporate reports, this paper provides insights into the successful internationalisation process of emerging market firms. Findings The findings of this study suggest that specific capabilities and resources, such as belonging to a family conglomerate, domestic and foreign partnerships and networks, innovation and market orientation, and an experienced management team, are required for emerging market firms to internationalise and improve their performance in foreign markets. Originality/value This study is one of the few to address the internationalisation process of Chilean companies.

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Retailing is a globalized industry yet retailers must respond to local shopping habits if they are to be perceived as legitimate by the host country customers. However, some retailers may be unable or unwilling to respond to all customer requirements. Costco, the membership warehouse club retailer, has been successful in its international expansion efforts, establishing its first Australian store in Melbourne in 2009. In the first twelve months of operation, the store became one of Costco’s top five stores in the world. We investigate this success focussing on the customer, and use institutional theory to analyze what concessions were made by the customer and the company. Data were collected from consumer interviews, site visits and secondary media and industry sources. Analysis revealed negotiations based on the rejection, acceptance or adaptation of the regulative, normative and cultural cognitive aspects of the Australian shopper and the Costco business model. Customers made concessions to accommodate the new business model, and Costco responded to entrenched Australian shopping habits. This case is the first to explore the outcome of retail internationalization from the customers’ perspective, revealing the concept of mutual concessions. The interaction and subsequent adaptation by both customer and retailer have resulted in the institutionalization of new shopping norms in the host country and success for the international retailer.