Abstract: Described are methods and systems for identifying an electrical load device electrically coupled to a smart plug device. In some embodiments, a server receives, from the smart plug device, a plurality of power properties associated with the electrical load device. The server inputs the plurality of power properties into a plurality of nodes of an artificial neural network (ANN) graph to generate a predicted device ID. The server queries a database for a device ID that is within a threshold of the predicted device ID. Based on querying the database to determine that the device ID exists, the server identifies the electrical load device as a device associated with the device ID.

Abstract: The present invention is a power meter with auto switching control. It comprises a power measurement unit where the power and energy data can be display either locally as well as remotely through wireless communications, an electrical receptacle, plug or strip connecting power to electrically powered equipment or devices; a switch with open and close states to control power off and on; a combination of buttons for manual controls and settings; embedded or externally connected sensors to provide signal input, for example but not limited to, occupancy sensors and infrared sensors; a processing unit to automatically control the power on/off according to the measured power, sensor signals, user input, schedules and control strategies; and storage units to hold these control strategies and algorithms and save data.