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Semiparametric modeling of the spatiotemporal trends in natural gas consumption: Methodology, results, and consequences

机译:天然气消费时空趋势的半参数建模:方法、结果和后果

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摘要

Abstract Household consumption of natural gas is usually considered to be quite stable as cooking, space, and water heating belong to basic needs. The improvement of technologies together with possibilities of switching to alternative sources can, however, lead to a decreasing consumption trend. Knowing more about such trend, especially of its spatial distribution, can be useful for strategic planning. In this paper, we describe a general statistical methodology allowing to study the spatiotemporal behavior of consumption. It is based on semiparametric modeling. Formalized error and sensitivity analyses are part of the methodology. Presented methods are illustrated on large‐scale data from the Czech Republic.
机译:摘要 家庭对天然气的消耗通常被认为是相当稳定的,因为烹饪、空间和水加热属于基本需求。然而,技术的改进以及转向替代来源的可能性可能导致消费趋势下降。更多地了解这种趋势,特别是其空间分布,对战略规划很有用。在本文中,我们描述了一种通用的统计方法,可以研究消费的时空行为。它基于半参数建模。形式化误差和敏感性分析是该方法的一部分。所提出的方法在捷克共和国的大规模数据上进行了说明。

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