计算机与现代化Issue(2)：19-21,25,4.DOI:10.3969/j.issn.1006-2475.2012.02.006
基于基因表达式编程的电力负荷预测算法
Power Load Forecasting Algorithm Based on Gene Expression Programming
徐云燕1
作者信息
- 1. 国网电力科学研究院国际业务分公司,江苏南京 210003
- 折叠
摘要
Abstract
This paper presents a power load forecasting algorithm based on gene expression programming (PLF-CEP) , which combines theory of gene expression programming to improve precision of power load forecasting. PLF-CEP 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.关键词
电力负荷/基因表达式编程/基因/适应度函数Key words
power load/gene expression programming/gene/fitness function分类
信息技术与安全科学引用本文复制引用
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,(2):19-21,25,4.
