一个对多重能源消耗和光伏发电的层次数据集,以及排放和天气信息
Hanjiang Dong1,2, Jizhong Zhu3, Chi-Yung Chung4
1School of Electric Power Engineering, South China University of Technology, Guangzhou, 510641, Guangdong Province, China.
Scientific data
|November 1, 2025
概括
本研究介绍了层次能源,排放和天气 (HEEW) 数据集,这是分析建筑能耗,光伏发电和温室气体 (GHG) 排放的综合资源. HEEW数据集为能源部门的各种数据科学应用提供了强大的基准.
科学领域:
- 环境科学 环境科学
- 数据科学数据科学数据科学
- 建筑能源系统 建筑能源系统
背景情况:
- 对能源消耗,可再生能源发电和相关排放的准确数据对于可持续的建筑管理至关重要.
- 现有的数据集往往缺乏对不同规模 (建筑,社区,地区) 进行详细分析所需的等级结构和全面范围.
研究的目的:
- 构建和发布层次能源,排放和天气 (HEEW) 数据集,一个新的,多源和层次时间序列数据集.
- 为评估能源,排放和天气分析中的数据驱动方法提供一个基准数据集.
- 促进能源预测,异常检测和排放优化等领域的研究.
主要方法:
- 构建一个大型数据集 (11,987,328条记录),涵盖能源消耗,光伏发电,温室气体排放和天气数据.
- 开发一个两阶段的数据清理方案,用于赋值缺失的值和纠正异常数据,建立人工基础真相.
- 将数据结构化为2014-2022年时间序列表,包括147个建筑物,四个社区和区域级别.
主要成果:
- 该HEEW数据集包括13个小时变量:光伏输出,电力,热量,冷却负载,温度,露点,湿度,风速,风吹,压力和降水.
- 净温室气体排放量是通过从基于消费的排放中减去光伏发电补偿而计算的.
- 数据集在figshare上以CSV格式公开提供,数据清理代码在GitHub上.
结论:
- HEEW数据集为推动建筑能效,可再生能源整合和气候变化缓解方面的研究提供了有价值的,现实世界的资源.
- 已建立的数据清理方法确保了下游分析任务的数据质量和可靠性.
- 这一层次数据集使得多层次分析成为可能,弥合了单个建筑性能和区域能源环境动态之间的差距.
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