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The Impact of Barrel Oil Price Variation in MIBEL Prices: A Longitudinal Approach

机译:每桶油价变动对MIBEL价格的影响:一种纵向方法

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摘要

This paper seeks to analyse the impact of barrel oil price variation on the electricity prices. In particular, we analyse the impact of daily variation of barrel oil price on the short-term evolution of the Iberian Electricity Market (MIBEL) hourly prices, for biding optimization purpose, and also for scenario analysis in terms of pricing and strategy. The pursuit for accurate models to predict price movements can help to develop profit-maximizing trading strategies and optimal bidding techniques. In fact, important activities such as bidding strategies rely, nowadays, on price forecast information to improve decision making. For this purpose we make use of a mixed-effects longitudinal model to describe the variability of hourly prices from January 2015 to June 2016, in a total of 13 032 observations. We consider the value of barrel oil price, on the same day and on the previous day, as fixed effects, hour group as random effect and an autoregressive component of order 7 describing the within hour dependence. This analysis is an extension of [1], where the need of exogenous variables incorporation arose when analysing the longitudinal variation of electricity prices, with the purpose of enhance the longitudinal model performance. This study offers evidence that barrel oil price variation must be taken into account for electricity price forecasting, since it affects its variability.
机译:本文旨在分析桶装石油价格变动对电价的影响。特别是,我们分析了桶装油价格的每日变化对伊比利亚电力市场(MIBEL)每小时价格的短期演变的影响,出于竞价优化的目的,还出于价格和策略方面进行了情景分析。寻求准确的模型来预测价格走势可以帮助开发利润最大化的交易策略和最佳出价技术。实际上,如今重要的活动(例如出价策略)依赖于价格预测信息来改善决策。为此,我们使用混合效应纵向模型来描述2015年1月至2016年6月的小时价格变化,共计13 032个观测值。我们将当天和前一天的每桶石油价格的值视为固定效应,将小时组视为随机效应,并使用7阶自回归分量来描述小时内依赖性。此分析是[1]的扩展,其中在分析电价的纵向变化时出于提高纵向模型性能的目的,需要引入外部变量。这项研究提供了证据,表明电价预测必须考虑桶装石油价格的变化,因为它会影响其波动性。

著录项

  • 来源
  • 会议地点 Guimaraes(PT)
  • 作者单位

    School of Technology and Management, CIICESI Center for Research and Innovation in Business Sciences and Information Systems, Polytechnic of Porto, Porto, Portugal;

    School of Technology and Management, CIICESI Center for Research and Innovation in Business Sciences and Information Systems, Polytechnic of Porto, Porto, Portugal;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Longitudinal mixed-effects model; Electricity price Oil price;

    机译:纵向混合效应模型;电价油价;
  • 入库时间 2022-08-26 14:31:40

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