物联网数据集用于家庭可再生能源管理
1Department of Information Systems, College of Economics, Management & Information Systems, Nizwa University, Nizwa, Sultanate of Oman.
Data in brief
|February 26, 2024
概括
研究人员生成了一个新的合成数据集,用于智能家居能源管理模拟. 这一数据集解决了智能城市和家庭缺乏现实数据的问题,使得能源预测和研究更好.
科学领域:
- 能源系统工程 能源系统工程
- 计算机科学 计算机科学
- 数据科学数据科学数据科学
背景情况:
- 智能城市和智能家居研究越来越关注能源消耗和生产.
- 在可用于模拟智能家居和城市能源动态的可用数据集中存在重大差距.
- 现有的数据集往往缺乏关于传感器,能源使用和点对点交换的全面数据.
研究的目的:
- 为了生成和验证用于智能家居能源管理模拟的合成数据集.
- 为研究人员研究智能家居和城市的能源消耗,生产和预测提供资源.
- 为了促进复杂场景的模拟,包括罕见事件和可扩展性.
主要方法:
- 在365天内生成五个合成数据集,其中包含不同数量的房屋 (20,50,100,200).
- 利用沙特阿拉伯家庭的真实输入数据来产生50个家庭数据集的能源消耗和生产.
- 分析和验证生成的合成数据是否适用于智能家居能源研究.
主要成果:
- 成功生成和分析了用于智能家居能源模拟的多个合成数据集.
- 数据集包括能源消耗和生产数据,结合现实世界的输入来提高准确性.
- 经过验证的合成数据适用于模拟各种场景,包括异常的能量模式和点对点数据交换.
结论:
- 生成的合成数据集有效地解决了对智能家居和城市能源研究全面数据的需求.
- 这种资源能够对能源管理策略进行可靠的模拟,实验和验证.
- 该数据集已准备好用于推进智能能源系统和预测建模研究.
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