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Analysis and clustering of natural gas consumption data for thermal energy use forecasting

机译:热能预测天然气消耗数据的分析与聚类

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In this paper, after a brief analysis of the connections between the uses of natural gas and thermal energy use, the natural gas consumption data related to Italian market are analyzed and opportunely clustered in order to compute the typical consumption profile in different days of the week in different seasons and for the different class of users: residential, tertiary and industrial. The analysis of the data shows that natural gas consumption profile is mainly related to seasonality pattern and to the weather conditions (outside temperature, humidity and wind chiller). There is also an important daily pattern related to industrial and civil sector that, at a lower degree than the previous one, does affect the consumption profile and have to be taken into account for defining an effective short and mid term thermal energy forecasting method. A possible mathematical structure of the natural gas consumption profile is provided. Due to the strong link between thermal energy use and natural gas consumption, this analysis could be considered the first step for the development of a model for thermal energy forecasting.
机译:本文简要分析了天然气和热能使用的用途之间的连接,分析了与意大利市场相关的天然气消费数据,并群体聚集在一起,以计算本周不同日子的典型消费概况在不同的季节和不同类别的用户:住宅,第三级和工业。数据的分析表明,天然气消耗型材主要与季节性模式和天气条件(外部温度,湿度和风冷)有关。还有一个重要的日常模式,与工业和民事部门相关,在较低的程度上,确实影响了消费简介,并且必须考虑到定义有效的短期和中期热能预测方法。提供了天然气消耗曲线的可能数学结构。由于热能使用和天然气消耗之间的强烈联系,该分析可以被认为是开发热能预测模型的第一步。

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