Xiaomin Chang, University of Sydney
This video briefly introduces our research work on multi-source learning for energy disaggregation. It highlights the significant challenge of data scarcity in Non-Intrusive Load Monitoring (NILM) modelling and the limitations caused by domain shifts. We present the motivations driving us to push the boundaries of existing domain adaptation methods. The video also demonstrates our innovative solution and showcases its effectiveness through experimental results.
