一个爱沙尼亚住宅住宅的太阳能光伏发电和消费数据集
Sayeed Hasan1, Andrei Blinov2, Andrii Chub2
1Department of Electrical Power Engineering and Mechatronics, Tallinn University of Technology, Ehitajate tee 5, 19086, Tallinn, Estonia. sayeed.hasan@taltech.ee.
Scientific data
|March 23, 2025
概括
本研究提供了来自爱沙尼亚的高分辨率住宅光伏发电和能源消耗数据. 该数据集支持可再生能源整合,需求响应和消费行为分析.
科学领域:
- 能源系统工程 能源系统工程
- 整合可再生能源的整合
- 智能电网技术的发展
背景情况:
- 可再生能源的有效整合需要可靠的住宅发电和消费数据,特别是在波罗的海国家等气候变化的地区.
- 高分辨率数据对于优化能源规划,需求响应计划和了解消费者行为至关重要.
- 现有的数据缺口阻碍了准确的预测和分散能源资源的高效管理.
研究的目的:
- 呈现一套新的高分辨率住宅光伏发电和能源消耗数据数据集.
- 促进可再生能源整合,需求侧管理和住宅环境中的能源行为分析方面的研究.
- 为一年的数据收集,处理和特征分析提供全面的记录.
主要方法:
- 在爱沙尼亚的一住宅中部署了两个Camille Bauer PQ1000电力质量监测单元.
- 收集光伏 (PV) 发电和能计功率流量在一年 (2023) 的十秒间隔数据.
- 详细记录数据收集方法,原始数据特征,数据处理步骤和功能工程.
主要成果:
- 一个全面的一年数据集 (2023) 的十秒分辨率住宅光伏发电和电流数据成功收集和处理.
- 该数据集捕捉了颗粒式能源动态,使得生成模式和消费行为的详细分析成为可能.
- 最初的特征分析提供了对住宅能源使用和光伏生产特征的见解.
结论:
- 这一数据集为能源领域的研究人员和从业人员提供了宝贵的资源.
- 这些数据对于推动可再生能源的整合和改善能源管理策略至关重要.
- 这些发现强调了高分辨率监控对于理解和优化住宅能源系统的重要性.
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