期刊文献+

非侵入式电力负荷监测技术研究 被引量:11

Study on Non-Intrusive Load Monitoring Technology
下载PDF
导出
摘要 非侵入式负荷监测(NILM)技术通过分解总电力负荷数据,使电力用户了解不同时段各类设备的电能消耗,帮助决策者制定合理的节能计划,减少能源开支,并对节能减排具有重要作用.分析了NILM相对于传统侵入式负荷监测的优势,具有成本低、部署简单、扩展容易等特点.概述了NILM的基本框架,从监督和非监督算法两个方面进行了详细介绍.讨论了现有的数据集和算法评价指标,并指出了目前NILM面临的挑战. Non-Intrusive Load Monitoring (NILM) technology enables power users to under- stand the power consumption of various types of equipment at different times by disaggregating the total energy load data to help decision makers develop sound energy efficiency plans, reduce energy costs, which plays an important role in emission reduction. The advantages of NILM are analyzed in comparison with the traditional intrusion load monitoring, and the characteristics of low cost, simple deployment and easy expansion. Secondly, the basic framework of NILM is summa- rized, and the NILM algorithm is introduced in detail from the two aspects of supervision and unsupervised algorithm. Then the existing data set and algorithm evaluation index are discussed. Finally, the challenges facing the current NILM are pointed out.
出处 《上海电力学院学报》 CAS 2017年第4期357-361,共5页 Journal of Shanghai University of Electric Power
关键词 非侵入式负荷监测 基本框架 评价指标 数据集 non-intrusive load monitoring basic framework evaluation criteria dataset
  • 相关文献

参考文献1

二级参考文献14

  • 1HART G W. Non intrusive appliance load monitoring[J]. Proceedings of IEEE, 1992, 80(12): 1870-1891.
  • 2STEVENS R, LEEB S B, NORFORD L K, et al. Nonintrusive load monitoring and diagnostics in power systems [J]. IEEE Trans on Instrumentation and Measurement, 2008, 57 (7) : 1445-1454.
  • 3EPRI. Commercial nonintrusive load monitoring system beta test results[R]. 1999.
  • 4LEEB S B. A conjoint pattern recognition approach to nonintrusive load monitoring[D]. Cambridge, MA, USA:Massachusetts Institute of Technology, 1993.
  • 5LEE K D. Electric load information system based on non- intrusive power monitoring[D]. Cambridge, MA, USA: Massachusetts Institute of Technology, 2003.
  • 6FULLER A E. Harmonic approaches to non-intrusive load diagnostics [ D ]. Cambridge, MA, USA: Massachusetts Institute of Technology, 2008.
  • 7SHAW S R. System identification techniques and modeling for nonintrusive load diagnostics[D]. Cambridge, MA, USA: Massachusetts Institute of Technology, 2000.
  • 8KHAN U A, LEEB S B, LEE M C. A multiprocessor for transient event detection[J]. IEEE Trans on Power Delivery, 1997, 12(1): 51-60.
  • 9BASSEVILLE M E, NIKIFOROV I V. Detection of abrupt changes: theory and application[M]. Englewood Cliffs, CO, USA: Prentice Hall, 1993.
  • 10BRODSKY B E, DARKHOVSKY B S. Nonparametric methods in change-point problems[M]. Norwell, MA, USA: Kluwer Academic Publishers, 1993.

共引文献98

同被引文献117

引证文献11

二级引证文献166

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部