Power load identification method and system based on machine learning

The invention provides a power load identification method and system based on machine learning. Actually measured electrical parameter data including current, voltage, power and the like are taken asthe basis; basic electrical parameter data are unified in format, and on the basis of extracting, collecting, analyzing, concluding and training power load characteristics for a long time, the types of electrical appliances in use can be correctly identified under the condition that the overall basic electrical parameter data of a plurality of electrical loads in a period of time are known to include voltage, current, active power, reactive power and the like. Therefore, according to the machine learning model training method and system for power load identification provided by the invention,manual parameter adjustment is not needed; compared with traditional methods such as time domain waveform matching, feature point matching and spectral analysis, the method is high in matching accuracy, the feature parameters