基于客户部门对电力负荷增长的长期预测

S. Sujito, Ridho Riski Hadi, L. Gumilar, Abdullah Iskandar Syah, Moh. Zainul Falah, Tran Huy Duy
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引用次数: 0

摘要

电能的可用性是一个重要的问题。随着人口的增长,电能也在增加。本研究针对电力系统运行中的问题。其中一个问题是由于需求和发电量之间的规模增长而导致的电力不平衡。可以采取的替代对策是为将来可能发生的情况或我们所熟悉的预测做好准备。使用多元线性回归方法预测,本研究变量假设家庭部门、商业、工业和公共部门,并考虑人口、地区国内生产总值和地区最低工资的影响。在预测中,有必要使用平均绝对百分比误差(MAPE)来评估准确性。MAPE评价结果显示,家庭部门的MAPE值为0.142%,商业部门的MAPE值为0.085%,工业部门的MAPE值为1.983%,总客户部门的MAPE值为0.131%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Long-term forecasting for growth of electricity load based on customer sectors
The availability of electrical energy is an important issue. Along with the growth of the human population, electrical energy also increases. This study addresses problems in the operation of the electric power system. One of the problems that occur is the power imbalance due to scale growth between demand and generation. Alternative countermeasures that can be done are to prepare for the possibility that will occur in the future or what we are familiar with forecasting. Forecasting using the multiple linear regression method with this research variable assumes the household sector, business, industry, and public sectors, and is considered by the influence of population, gross regional domestic product, and District Minimum Wage. In forecasting, it is necessary to evaluate the accuracy using mean absolute percentage error (MAPE). MAPE evaluation results show a value of 0.142 % in the household sector, 0.085 % in the business sector, 1.983 % in the industrial sector, and 0.131 % in the total customer sector.
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CiteScore
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