高校公共楼层用电量与气温关系分析

摘要

By means of statistical analysis of air temperature and daily Power Consumption of communal buildings in Fujian Agriculture and Forestry University(FAFU)in three academic years,including 2011-2012,2012-2013 and 2014-2015,it is learned that the relation of daily Power Consumption and air temperature is obviously segmented:they have high correlativity in the high temperature range and are less relevant below the critical temperature which is generally between 25℃~30℃. By analyzing the correlation between electricity consumption and air temperature with various functions,it shows that the coefficient of determination R2 in the goodness of fit of polynomial and linear function is the maximum,which is more than 80%.Finally,taking into account the practicality and maneuverability,the author build a predictive model of linear regression for calculating daily power consumption according to the temperature.%通过对福建农林大学公共楼层A的2011—2012学年、2012—2013学年、2014—2015学年工作日用电量的一系列统计分析，了解到日用电量与气温的关系具有明显的分段性——高温阈内相关性高，低温阈内相关性则较低，其临界温度一般处于25℃～30℃之间；根据多种函数对用电量与气温进行相关性分析的结果发现，多项式与线性函数的拟合优度判定系数R2最高，均达到80%以上；最后，考虑到实用性与操作性，建立线性回归预测模型，以便根据气温预测用电量。