This paper proposes a prediction method for building electrical energy consumption based on PLS model in order to address the excessive energy consumption of electrical equipment and the limited utilization of energy consumption data in traditional building engineering operations.The method effectively integrates energy consumption data by adding sensors to traditional building electrical equipment and utilizing LoRa RF data bidirectional transmission technology.Introduce the Partial Least Squares(PLS)method to develop an abnormal prediction model for energy consumption.Determine the electrical equipment's building energy consumption time ratio,analyze energy consumption data's abnormal data points,and utilize evaluation indexes to confirm the prediction results'validity.Through experimental verification,this method demonstrates high feasibility in managing the energy consumption of building electrical equipment and promoting sustainable development in industrial energy.
关键词
PLS模型/建筑电气设备/LoRa数据传输/能耗预测
Key words
PLS modeling/Building electrical equipment/LoRa data transmission/Energy consumption prediction
维普
万方数据