工业园区企业短期用电量预测算法

Algorithm for Forecasting Short-Term Power Consumption of Enterprises in Industrial Park

以经济技术开发区企业为研究对象,考虑当地气候因素,基于灰色系统理论,建立工业企业短期用电量预测模型,采用残差修正法对偏离的预测值进行修正,设计实现一种短期用电量预测算法。实验结果表明,给出的算法预测准确高,可用于指导企业计划生产所需的短期用电量。

Taking the enterprises in the economic and technological development zone as the research object,considering the local climate factors and based on the grey system theory,the short-term power consumption prediction model of industrial enterprises is established.The resid⁃ual correction method is used to modify the deviated prediction value,and a short-term power consumption prediction algorithm is de⁃signed and implemented.The experimental results show that the algorithm is accurate and can be used to guide the short-term power con⁃sumption required by enterprise planning.