On the detection of patterns in electricity prices across European countries: An unsupervised machine learning approach

IF 1.8 Q4 ENERGY & FUELS
AIMS Energy Pub Date : 2022-01-01 DOI:10.3934/energy.2022054
Dimitrios Saligkaras, Vasileios E. Papageorgiou
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引用次数: 4

Abstract

The year 2022 is characterized by a generalized energy crisis, which leads to steadily increasing electricity prices around the world, while the corresponding salaries remain stable. Therefore, examining trends in electricity prices relative to existing income levels can provide valuable insights into the overpricing/underpricing of energy consumption. In this article, we examine the tendencies of 35 European countries according to their national kWh prices and the average household incomes. We use a series of established clustering methods that leverage available information to reveal price and income patterns across Europe. We obtain important information on the balance between family earnings and electricity prices in each European country and are able to identify countries and regions that offer the most and least favorable economic conditions based on these two characteristics studied. Our analysis reveals the existence of four price and income patterns that reflect geographical differences across Europe. Countries such as Iceland, Norway, and Luxembourg exhibit the most favorable balance between prices and earnings. Conversely, electricity prices appear to be overpriced in many southern and eastern countries, with Portugal being the most prominent example of this phenomenon. In general, average household incomes become more satisfactory for European citizens as we move from east to west and south to north. In contrast, the respective national electricity prices do not follow this geographical pattern, leading to notable imbalances. After identifying significant cases of inflated prices, we investigate the respective causes of the observed situation with the aim of explaining this extreme behavior with exogenous factors. Finally, it becomes clear that the recent increase in energy prices should not be considered as a completely unexpected event, but rather as a phenomenon that has occurred and developed gradually over the years.
关于欧洲各国电价模式的检测:一种无监督的机器学习方法
2022年的特点是普遍的能源危机,这导致全球电价稳步上涨,而相应的工资保持稳定。因此,研究相对于现有收入水平的电价趋势可以为能源消费的定价过高/定价过低提供有价值的见解。在这篇文章中,我们根据他们的国家千瓦时价格和平均家庭收入来研究35个欧洲国家的趋势。我们使用一系列已建立的聚类方法,利用现有信息来揭示整个欧洲的价格和收入模式。我们获得了关于每个欧洲国家家庭收入和电价之间平衡的重要信息,并能够根据研究的这两个特征确定提供最有利和最不利经济条件的国家和地区。我们的分析揭示了四种价格和收入模式的存在,这些模式反映了欧洲各地的地理差异。冰岛、挪威和卢森堡等国在价格和收入之间表现出最有利的平衡。相反,许多南部和东部国家的电价似乎过高,葡萄牙是这一现象最突出的例子。总的来说,随着欧洲人从东向西、从南向北迁移,欧洲人的平均家庭收入会越来越令人满意。相比之下,各自国家的电价并不遵循这种地理格局,导致明显的不平衡。在确定了价格膨胀的重要案例后,我们调查了所观察到的情况的各自原因,目的是用外生因素解释这种极端行为。最后,很明显,最近能源价格的上涨不应被视为完全出乎意料的事件,而应被视为多年来逐渐发生和发展的现象。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
AIMS Energy
AIMS Energy ENERGY & FUELS-
CiteScore
3.80
自引率
11.10%
发文量
34
审稿时长
12 weeks
期刊介绍: AIMS Energy is an international Open Access journal devoted to publishing peer-reviewed, high quality, original papers in the field of Energy technology and science. We publish the following article types: original research articles, reviews, editorials, letters, and conference reports. AIMS Energy welcomes, but not limited to, the papers from the following topics: · Alternative energy · Bioenergy · Biofuel · Energy conversion · Energy conservation · Energy transformation · Future energy development · Green energy · Power harvesting · Renewable energy
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