 This study proposes using transient feature analysis to identify the power demands and operations of electrical loads. It found that the transient response time and energy are better indicators of load behavior than steady-state features, reducing computational requirements and improving accuracy. Additionally, it found that the discrete wavelet transform, DWT, is more suitable than short-time Fourier transform, STFT, for analyzing transient load behavior. This article was authored by Sushin Chang.