This article discusses the development of Non-Intrusive Load Monitoring (NILM) and its potential use in smart home technology. It introduces the Transient Dataset of Household Appliances with Intensive Switching Events (TDHA25) and its benefits in enhancing the accuracy of NILM algorithms and facilitating their application in regions with similar electricity consumption characteristics to China.
