基于线性回归模型的教育建筑能耗自变量分析比较研究

R. F. Mustapa, Atiqah Hamizah Mohd Nordin, M. A. Hairuddin, Wan Suhaifiza W Ibrahim, Siti Aliyah Mohd Saleh, N. Dahlan, I. Yassin
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引用次数: 0

摘要

基线能源模型是将建筑物的能源消耗与其各自的自变量联系起来的模型。在建模之前,自变量的选择被认为是重要的,因为它是控制能源消耗的因素。如果在选取自变量时没有进行适当的分析,基线能量模型的发展就会出现预测不实用和不准确的问题。因此,本文的主要目的是分析可能影响教育建筑能耗的自变量,然后建立基线能耗模型。分析将使用单线性回归(SLR)模型和多元线性回归(MLR)模型。能源消耗数据和自变量数据将被输入模型。将使用相关系数(R)和决定系数(R2)值来分析自变量对能耗的影响程度。结果表明,MLR模型与SLR模型相比,R值和R2分别为0.91和0.84,表明有多个自变量在影响能源消耗。基线能源模型是从SLR和MLR模型发展而来的,在未来的工作中,可以使用基线能源模型来预测能源消耗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Educational Building’s Energy Consumption Independent Variables Analysis using Linear Regression Model: A Comparative Study
Baseline energy model is a model that relates the the energy consumption with its respective independent variables in a building. Prior to modelling, the selection of the independent variables was deemed important as it is the factor that governed the energy consumption. Without a proper analysis in selecting the independent variables, the development of the baseline energy model will suffer with impracticality and inaccuracy in prediction. Thus, this paper main objective is to analyze the independent variables that may affect the energy consumption in educational building before a baseline energy model will be developed. Single Linear Regression (SLR) model and Multiple Linear Regression (MLR) model will be used for the analysis purpose. Energy consumption data and independent variable data will be fed into the models. The coefficient of correlation (R) and coefficient of determination (R2) value will be use to analyze the strength of the independent variables towards the energy consumption. Results show that the MLR model has a high value of R and R2 0.91 and 0.84 respectively compared to SLR model that indicates more than one independent variables is affecting the energy consumption. Baseline energy models were developed from the SLR and MLR model where for the future work, energy consumption can be predicted using the baseline energy model.
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