Non-intrusive multi-label load monitoring via transfer and contrastive learning architecture

•A transfer and contrastive learning architecture identifying multi-label loads.•Contrastive learning architecture to extract deep features.•Transfer learning design solves the sparsity of multi-label appliances.•Gramian angular field encoding enhances the feature extraction efficiency.•Verifications on both public datasets and real-world measurements from China.