801 resultados para Electricity market prices forecast


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On 11 October, the top executives of ten European energy companies, which jointly own about half of the European Union’s electricity generating capacity, warned that “energy security is no longer guaranteed” and once again called for changes to EU energy policy. Due to persistent adverse conditions in the energy market (linked to, for example, the exceptionally low wholesale energy prices) more and more conventional power plants are being closed down. According to sector representatives, this could lead to energy shortages being seen as early as this winter. Meanwhile, in an interview with The Daily Telegraph published in September of this year, the European industry commissioner Antonio Tajani warned – in a rather alarmist tone – of the disastrous consequences the rising energy prices could have on European industry. Amongst the reasons for the high prices of energy, Tajani mentioned the overambitious pace and methods used to increase the share of renewables in the sector. In a similar vein, EU President Herman Van Rompuy has highlighted the need to reduce energy costs as a top priority for EU energy policy1. The price of energy has become one of the central issues in the current EU energy debate. The high consumer price of energy – which has been rising steadily over the past several years – poses a serious challenge to both household and industrial users. Meanwhile, the declining wholesale prices are affecting the cost-effectiveness of energy production and the profits of energy companies. The current difficulties, however, are first and foremost a symptom of much wider problems related to the functioning of both the EU energy market as well as to the EU’s climate and energy policies.

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Highlights • In its Digital Single Market strategy, the European Commission has rightly noted the importance of reducing the price paid for basic cross-border parcel delivery by consumers and by small and medium size retail senders. • The payment flows for cross-border parcel delivery are strikingly similar to those for telecommunications. Comparisons with roaming can be instructive. As with roaming, it is clear that the links between wholesale payments between the national postal operators and retail prices need to be properly understood in order to craft good policy. Another useful lesson is that national postal regulatory authorities are unlikely to address cross-border problems because of limitations in their respective mandates and because they have no incentive to take measures to benefit residents of other countries. • There are also significant differences between roaming and parcel delivery.While high wholesale charges were a major driver of high retail prices for international mobile roaming, the wholesale payments for cross-border parcel delivery appear to be below cost.This implies that it is the ‘spread’ between retail price and thewholesale payment that is inflated, at least for small retail senders and for consumers. • Comprehensive statistics gathering, coordinated at European level, is indispensable.

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"The research on which this report is based was undertaken as part of the North Central Regional Poultry Marketing Project NCM-14."--P. [3].

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This paper focuses on measuring the extent to which market power has been exercised in a recently deregulated electricity generation sector. Our study emphasises the need to consider the concept of market power in a long-run dynamic context. A market power index is constructed focusing on differences between actual market returns and long-run competitive returns, estimated using a programming model devised by the authors. The market power implications of hedge contracts are briefly considered. The state of Queensland Australia is used as a context for the analysis. The results suggest that generators have exercised significant market power since deregulation.

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This paper presents load profiles of electricity customers, using the knowledge discovery in databases (KDD) procedure, a data mining technique, to determine the load profiles for different types of customers. In this paper, the current load profiling methods are compared using data mining techniques, by analysing and evaluating these classification techniques. The objective of this study is to determine the best load profiling methods and data mining techniques to classify, detect and predict non-technical losses in the distribution sector, due to faulty metering and billing errors, as well as to gather knowledge on customer behaviour and preferences so as to gain a competitive advantage in the deregulated market. This paper focuses mainly on the comparative analysis of the classification techniques selected; a forthcoming paper will focus on the detection and prediction methods.