西班牙家庭的智能电表数据集:对消费模式的洞察力
Carlos Quesada1, Leire Astigarraga2, Chris Merveille2
1Deusto Institute of Technology, Faculty of Engineering, University of Deusto, Bilbao, 48007, Spain. carlos.quesada@deusto.es.
Scientific data
|January 10, 2024
概括
本研究介绍了来自西班牙的第一个智能电表数据集,提供了有价值的家庭电力消耗数据. 本资源有助于理解能源使用模式和行为变化,这些变化受到COVID-19封锁等事件的影响.
科学领域:
- 能源系统分析 能源系统分析
- 行为经济学是一种行为经济学.
- 数据科学数据科学数据科学
背景情况:
- 智能电表为家庭和企业提供精细的能源消耗数据.
- 现有的数据集往往缺乏地理多样性,主要来自少数几个国家.
- 了解家庭能源消耗对于能源系统建模和行为研究至关重要.
研究的目的:
- 从西班牙电力供应点引入第一个全面的智能电表数据集.
- 增强家庭能源消费数据的地理多样性.
- 为分析能源消耗模式和对现实事件的行为反应提供资源.
主要方法:
- 收集和处理25559个原始的每小时智能电表时间序列.
- 数据从2014年11月到2022年6月,平均长度近三年.
- 创建三个数据子集,按西班牙COVID-19前,期间和后的封锁期划分.
主要成果:
- 现在可以获得一套新的西班牙家庭电力消费数据集.
- 数据集包括原始和加工的时间序列,提供详细的能源使用信息.
- 小组允许分析与特定事件相关的能源消耗转移.
结论:
- 这一数据集显著扩大了可用的能源消耗数据的多样性.
- 它是研究能源行为和系统动态的研究人员的宝贵资源.
- 这些数据可以分析在关闭等重大社会事件期间的行为适应.
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