对非侵入性负载监控设备的实地研究以及对负载分类的影响
Ebony Mayhorn1, Joshua Butzbaugh1, Alan Meier2
1Pacific Northwest National Laboratory, Richland, WA 99354, USA.
Sensors (Basel, Switzerland)
|October 14, 2023
概括
这项研究评估了家庭中的非侵入性负载监控 (NILM) 产品. 虽然对于热水器来说是准确的,但对于其他设备来说,NILM的性能有所不同,通常无法检测主要负载.
科学领域:
- 能源效率 能源效率 能源效率
- 建筑科学 建筑科学
- 电气工程 电气工程
背景情况:
- 大多数非侵入性负载监控 (NILM) 评估都是在人工环境中进行的.
- 在实际家庭中对NILM产品的现场评估很少.
研究的目的:
- 在八个家庭中对最先进的NILM产品进行现场评估.
- 评估NILM在确定特定负载和估计正常运行条件下的能源消耗方面的性能.
主要方法:
- 使用匹配率指标进行负载识别和准确性评估.
- 开发了一个绩效评估协议,以解决NILM错误标记和基准真相比较问题.
- 对比NILM估计与八个主要设备的低消耗量.
主要成果:
- 对于电气和热热水器而言,NILM产品表现良好.
- 准确度对于冰箱,干燥机和空调来说是相当的,但对于设备,炉风扇,洗衣机和洗碗机来说是很差的.
- 该产品经常无法检测重负荷,每户经常错过两台或更多的电器.
结论:
- 在现实条件下,NILM产品的性能是可变的,在不同类型的设备中存在显著差异.
- 需要改进NILM的准确性,特别是用于检测常见的家庭负载.
- 互补技术可能会增强NILM对全面负载分类的能力.
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