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Forecasting Energy Consumption in the EU Residential Sector

机译:预测欧盟住宅部门的能源消耗

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摘要

The present paper aims to introduce a top down methodology for the forecasting of residential energy demand in four European countries, namely Germany, Italy, Spain, and Lithuania. The methodology employed to develop the estimation is based on econometric techniques. In particular, a logarithmic dynamic linear constant relationship of the consumption is proposed. Demand is estimated as a function of a set of explaining variables, namely heating degree days and gross domestic product per capita. The results confirm that the methodology can be applied to the case of Germany, Italy, and Spain, whereas it is not suitable for Lithuania. The analysis of elasticities of the demand with respect to the gross domestic product per capita shows a negative value for Germany, −0.629, and positive values for Italy, 0.837, and Spain, 0.249. The forecasting of consumption shows that Germany and Italy are more sensitive to weather conditions with respect to Spain and an increase in the demand of 8% and 9% is expected in case of cold climatic conditions.
机译:本文旨在介绍一种自上而下的方法,用于预测四个欧洲国家(德国,意大利,西班牙和立陶宛)的住宅能源需求。用于进行估计的方法是基于计量经济学的技术。特别地,提出了消耗的对数动态线性常数关系。估计需求是根据一组解释变量的函数,即加热度天数和人均国内生产总值。结果证实该方法可以应用于德国,意大利和西班牙,但不适用于立陶宛。相对于人均国内生产总值的需求弹性分析显示,德国为负值-0.629,意大利为正值0.837,西班牙为正值0.249。消费量预测显示,德国和意大利相对于西班牙对天气条件更为敏感,在寒冷的气候条件下,需求将增长8%和9%。

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