Non-intrusive load monitoring (NILM) is one of the important technologies in home energy management and power demand response scenario. However, presence multi-mode appliances with close values have affected diminishing accuracy identification based NILM algorithms. To tackle these challenges, work proposes a resident decomposition method combining multi-scale attention mechanism convolutional ...

Intelligent bearing fault diagnosis is a necessary approach to ensure the stable operation of rotating machinery. However, it usually difficult collect data under actual working conditions, leading serious imbalance in training datasets, thus reducing effectiveness data-driven diagnostic methods. During stage augmentation, multi-scale progressive generative adversarial network (MS-PGAN) used le...

Abstract. We analyze the random fluctuations of several multi-scale algorithms such as the multi-scale finite element method (MsFEM) and the finite element heterogeneous multi-scale method (HMM), that have been developed to solve partial differential equations with highly heterogeneous coefficients. Such multi-scale algorithms are often shown to correctly capture the homogenization limit when t...