Research on Energy Consumption Prediction Based on Machine Learning

Abstract

Energy conservation and emission reduction is an important part of enterprise management. Energy costs directly affect the economic benefits of enterprises. Energy control of industrial air conditioning has long been the focus of the attention of enterprises. At present, enterprises often adopt fixed pre-cooling and pre-heating time for air conditioning start-up strategy, and there is no unified and scientific standard. By collecting and cleaning the historical data (climate, capacity) of air conditioning operation of enterprises, this paper establishes a scientific model of air conditioning energy consumption and a prediction model of air conditioning starting time. In addition, the theory and technology proposed in this paper are applied in practice to design and implement the air-conditioning energy control system of smart factory, and to predict the starting time of the air-conditioning in the production workshop of enterprises. The results show that the system can help enterprises achieve the goal of intelligent energy management and control.