Threshold-Free Event Detection for Nonintrusive Load Monitoring Using Motif Difference Field Images and Convolutional Neural Networks

Event detection is a critical process in non-intrusive load monitoring (NILM). Accurate detection enhances subsequent load identification and facilitates a prompt understanding of the system’s real- time status. This paper proposes a novel method to determine event occurrence. First, this...

وصف كامل

التفاصيل البيبلوغرافية

الحاوية / القاعدة:	IEEE Access
المؤلفون الرئيسيون:	Yen-Kuang Lin, Men-Shen Tsai
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	IEEE 2025-01-01
الموضوعات:	NILM event detection motif difference field transition characteristics machine learning
الوصول للمادة أونلاين:	https://ieeexplore.ieee.org/document/11206322/