Physical-data fusion building analysis method based on extreme learning machine

The invention relates to the field of power systems, in particular to a physical-data fusion building modeling analysis method based on an extreme learning machine. The method comprises the followingsteps: firstly, acquiring and preprocessing data: constructing a building physical model based on an overall measurement and recognition method through collected and preprocessed building data and electrical data; training the building physical model, the collected and preprocessed user data, environment data and actual power consumption data by using an extreme learning machine to obtain a physical-data fusion model; and inputting the static parameters of the to-be-analyzed power consumption behaviors and the dynamic parameters into the physical-data fusion model through the physical model toobtain an analysis result. The system comprises a data collection and preprocessing module and a building physical module. Physical-data fusion module. The invention provides a physical-data fusion building modeling analysis