The invention relates to an ultra-short-term load prediction method of an extreme learning machine. An extreme learning machine model is established and acquisition data are inputted into the model, thereby realizing key industry agglomeration real-time data monitoring. An extreme learning machine algorithm is used for carrying out key industry user short-term load prediction; and the key industry load changing characteristic is monitored and analyzed and the enterprise power consumption mode changing can be warned early.