一个墨西哥小社区的天气和电力需求和消费数据
Milagros Santos-Moreno1, Jorge Ángel González-Ordiano1, J Emilio Quiroz-Ibarra1
1Instituto de Investigación Aplicada y Tecnología, Universidad Iberoamericana, Ciudad de México, México.
Data in brief
|December 28, 2023
概括
这项研究引入了来自墨西哥一个小社区的家庭电气数据和天气信息的新数据集. 这些数据对于开发智能电网技术来支持墨西哥能源转型至关重要.
科学领域:
- 能源系统和能源政策
- 气候变化缓解缓解 气候变化缓解
- 数据科学数据科学数据科学
背景情况:
- 智能电网需要能源数据来实现气候变化减缓技术.
- 能源数据,特别是来自墨西哥非城市地区的家庭层面的能源数据,很少.
- 现有的数据集往往缺乏开发先进智能电网解决方案所需的细节性.
研究的目的:
- 来自墨西哥一个小社区的电力需求,消费和天气时间序列的新型数据集.
- 提供高分辨率数据,以促进智能电网技术的发展.
- 支持墨西哥和其他发展中国家的能源转型.
主要方法:
- 收集了来自5个家庭的电力需求 (15分钟分辨率) 和消费 (每小时和每天分辨率) 数据.
- 收集了对室外和室内条件的全面天气数据 (24个变量,5分钟分辨率).
- 将数据组织成15个电气数据的CSV文件和2个天气数据的CSV文件,分为不同的文件.
主要成果:
- 现在可以获得一个独特的数据集,其中包含细粒度的电力使用量和气象变量.
- 该数据集提供了对能源分析至关重要的多分辨率时间序列.
- 数据涵盖了影响能源消耗的电气模式和环境因素.
结论:
- 提出的数据集可以显著帮助创建创新的智能电网方法和算法.
- 预计该资源将加速墨西哥和类似发展中国家的能源转型.
- 局部化,家庭级数据的可用性是推进可持续能源解决方案的关键.
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