计算机与现代化 ›› 2012, Vol. 198 ›› Issue (2): 19-21.doi: 10.3969/j.issn.1006-2475.2012.02.006
• 算法设计与分析 • 上一篇 下一篇
徐云燕
收稿日期:
修回日期:
出版日期:
发布日期:
XU Yun-yan
Received:
Revised:
Online:
Published:
摘要： 针对电力负荷预测的特点，本文结合基因表达式编程的思想，设计电力负荷预测基因和适应度函数，在此基础上，提出基于基因表达式编程的电力负荷预测算法(Power Load Forecasting based on Gene Expression Programming, PLF-GEP)。仿真实验表明，PLF-GEP算法的预测精度与实际值之间的误差率最小约1%，大大提高了电力负荷预测的精度。
关键词: 电力负荷, 基因表达式编程, 基因, 适应度函数
Abstract: This paper presents a power load forecasting algorithm based on gene expression programming (PLF-GEP), which combines theory of gene expression programming to improve precision of power load forecasting. PLF-GEP designed power load forecasting gene and fitness function for the characteristics of power load forecasting. Simulation experiments show that forecasting precision of PLF-GEP is improved about 99% in contrast with real precision.
Key words: power load, gene expression programming, gene, fitness function
中图分类号:
TP301.6
徐云燕. 基于基因表达式编程的电力负荷预测算法[J]. 计算机与现代化, 2012, 198(2): 19-21.
XU Yun-yan. Power Load Forecasting Algorithm Based on Gene Expression Programming[J]. Computer and Modernization, 2012, 198(2): 19-21.
0 / / 推荐
导出引用管理器 EndNote|Ris|BibTeX
链接本文: http://www.c-a-m.org.cn/CN/10.3969/j.issn.1006-2475.2012.02.006
http://www.c-a-m.org.cn/CN/Y2012/V198/I2/19
