Design of A Reliable Algorithmic with Deep Learning and Transfer Learning for Load Combination Recognition

Non-intrusive load monitoring system (NILMS) have become a hot research topic. However, the majority of existing methods for NILM are unreliability, especially, the generalization of model and the accuracy of identification in the multi-load with the similar load energy consumption values. This paper proposes a reliable algorithm architecture fused deep learning and transfer learning to improve th...