论文标题

从公共数据中计算出半小时的电气需求

Calculating Great Britains half-hourly electrical demand from publicly available data

论文作者

Wilson, IA Grant, Sharma, Shivangi, Day, Joseph, Godfrey, Noah

论文摘要

在这里,我们提出了一种将半小时的公开发电和互连运行数据结合起来的方法,以创建近似于其电气需求的时间表。我们称计算出的电气需求ESPENI是Elexon Sum和嵌入式净进口的首字母缩写。该方法通过将传输和分配生成数据相结合到一个数据集中并添加ISO 8601兼容数据来增加原始数据的价值,以增加与其他时间表数据的互操作性。数据清洁是通过视觉标记数据错误进行操作的,然后使用简单的线性插值来估算值以替换标记的数据。发布该方法允许它得到进一步的增强或改编,并被更广泛的社区考虑和批评。此外,已发表的原始数据和清洁数据是一种宝贵的资源,可以节省研究人员在重复方法中提出的数据以准备进一步分析的方法中。该数据是自2008年底以来大不英国电气系统脱碳化的公共记录,被广泛视为从化石燃料产生到低碳来源快速脱碳的一个例子。

Here we present a method to combine half-hourly publicly available electrical generation and interconnector operational data for Great Britain to create a timeseries that approximates its electrical demand. We term the calculated electrical demand ESPENI that is an acronym for Elexon Sum Plus Embedded Net Imports. The method adds value to the original data by combining both transmission and distribution generation data into a single dataset and adding ISO 8601 compatible datetimes to increase interoperability with other timeseries data. Data cleansing is undertaken by visually flagging data errors and then using simple linear interpolation to impute values to replace the flagged data. Publishing the method allows it to be further enhanced or adapted and to be considered and critiqued by a wider community. In addition, the published raw and cleaned data is a valuable resource that saves researchers considerable time in repeating the steps presented in the method to prepare the data for further analysis. The data is a public record of the decarbonisation of Great Britains electrical system since late 2008, widely seen as an example of rapid decarbonisation of an electrical system away from fossil fuel generation to lower carbon sources.

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