Non-intrusive load event detection algorithm based on Bayesian information criterion [基于贝叶斯信息准则的非侵入式负荷事件检测算法]

作者：Xiao J.; Francois A.; Jing Z.^*; Sarra H.

来源：Power System Protection and Control, 2018, 46(22): 8-14.

DOI：10.7667/PSPC171639

• Bayesian information criterion
• Cumulative sum
• Event detection
• Non-intrusive load monitoring

User load data monitoring is the basis of demand side management. Non-Intrusive Load Monitoring (NILM) is an important development direction of load monitoring, and event detection is a key point in NILM. In this paper, the Bayesian information criterion which is suitable for the model selection problem is modeled and applied to event detection for the first time. Fast event detection algorithm is used to reduce the false alarm rate of event detection algorithm based on Bayesian information criterion, which can solve the problem of missing detection point in CUSUM algorithm. Finally, a real data set is used for testing. The experimental results show that compared with CUSUM algorithm, the event detection algorithm based on Bayesian information criterion can achieve better detection accuracy and can significantly improve the speed of computation.

• 单位
  华南理工大学