基于PLS模型的建筑电气能耗预测

Building Electrical Energy Consumption Prediction Based on PLS Model

本文针对传统建筑工程施工作业中电气设备能源消耗过大、能耗数据未能充分利用的情况,提出一种基于PLS模型的建筑电气能耗预测方法,通过在传统建筑电气设备中加入传感器,运用LoRa射频数据双向传输技术,有效整合能耗数据,引入PLS方法建立能耗异常预测模型,获取建筑电气设备的能耗时间比,分析能耗数据异常数据点,并采用评价指标验证预测结果的有效性。通过实验验证,该方法在建筑电气设备能耗管理及工业能源可持续发展方面具备较高的可行性。

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.