基于大数据关联规则挖掘的方法,用于在物联网环境中分析能源建筑行为
M Dolores1, Carlos Fernandez-Basso2,3, Juan Gómez-Romero1
1Department of Computer Science and Artificial Intelligence, University of Granada, Periodista Rafael Gómez Montero 2, 18015, Granada, Andalusia, Spain.
Scientific reports
|November 13, 2023
概括
现代电网管理使用物联网 (IoT) 和大数据来分析建筑的能源消耗. 数据挖掘和Spark算法发现了可以显著减少能源使用的模式.
科学领域:
- 计算机科学 计算机科学
- 能源系统工程 能源系统工程
- 数据科学数据科学数据科学
背景情况:
- 现代电网管理产生来自传感器的大量,异构的数据.
- 现有的基础设施很难有效地处理这些数据以获得能源效率洞察力.
研究的目的:
- 开发一个物联网 (IoT) 方法,与强大的大数据架构集成.
- 利用数据挖掘和Spark算法来分析建筑能源消耗模式.
主要方法:
- 使用大数据架构实现一个物联网系统.
- 应用Spark算法来处理和分析提取的建筑数据.
- 使用数据挖掘技术来发现隐藏的模式和相关性.
主要成果:
- 成功地发现了建筑物的能源消耗数据中隐藏的模式和连接.
- 展示了开发的物联网和大数据方法的有效性.
- 确定了影响布加勒斯特建筑物能源使用的关键因素.
结论:
- 由Spark驱动的综合物联网和大数据方法对能源效率分析是有效的.
- 发现的模式为减少建筑能源消耗提供了可操作的见解.
- 这种方法为智能电网能源管理提供了可扩展的解决方案.
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