The invention belongs to the field of load power use monitoring and energy management, and particularly relates to a method and system for identifying transient process of a non-intrusive load. The method comprises the following steps: by virtue of transient power waveform characteristics of multiple types, measuring similarity of a transient power waveform characteristic parameter sample sequence of an unfixed length and a template sequence by using a dynamic time warping algorithm within a time domain, on the basis, establishing a load transient process classification identification scheme based on a nearest neighbor classification strategy, and confirming power use equipment with the load transient process, thereby achieving artificial working state identification on the non-intrusive type power use equipment. The method and the system have the beneficial effects that accuracy and robustness of power load transient process identification can be improved, the cost of a monitoring system can be effectively controlled, and the practicability of the monitoring system can be effectively improved, therefore, practical popularization of an NILM (Non-Intrusive Load monitoring) technique can be greatly improved.