COFACTOR-住宅:来自挪威住宅建筑的每小时电力和供暖数据
Åse Lekang Sørensen1, Synne Krekling Lien1, Harald Taxt Walnum1
1Sintef Community Pb 124 Blindern, 0314 Oslo, Norway.
Data in brief
|March 2, 2026
概括
这项研究介绍了三个数据集,每小时的住宅能源消耗来自公寓,小屋和单户住宅. 这些数据支持建筑能源分析,负载预测和需求灵活性研究.
科学领域:
- 建筑科学 建筑科学
- 能源系统 能源系统
- 数据科学数据科学数据科学
背景情况:
- 详细的住宅能源消耗数据对于理解和优化建筑能源性能至关重要.
- 现有的数据集往往缺乏在各种建筑类型的细粒度,多年的每小时分辨率.
研究的目的:
- 描述和发布三个每小时住宅能源使用的综合数据集.
- 提供适用于各种能源分析,建模和预测任务的数据.
主要方法:
- 从公寓,小屋和单户住宅中收集每小时的电力和供暖数据.
- 综合建筑信息,天气变量和用户调查数据.
- 将数据组织成具有一致结构的人类可读的TXT文件.
主要成果:
- 三个不同的数据集分别包括29个,20个和194个文件.
- 数据涵盖从几个月到几年的时间序列,每个建筑物.
- 包括各种住宅类型的详细能源使用和建筑信息.
结论:
- 发布的数据集为住宅能源分析研究人员提供了宝贵的资源.
- 能够在负载配置生成,能源分类和需求灵活性研究方面取得进展.
- 为住宅部门提供改进的能源系统建模和预测.
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