The invention discloses an electric equipment identification method and device, a storage medium and a processor. The method comprises the following steps: acquiring electric energy parameters of a common terminal of a power network, wherein the electric energy parameters at least comprise voltage and current; adopting a neural network recognition model for analysis; determining the type of the electric equipment in the working state corresponding to the electric energy parameter, wherein the neural network recognition model is obtained through machine learning training by using multiple groups of training data, each group of training data in the multiple groups of training data comprises training electric energy parameters and types of training electric equipment, and the types of the training electric equipment are in one-to-one correspondence with the training electric energy parameters. According to the invention, the technical problem that the types of different devices accessed to the same network are difficult to identify is solved.