Power Load Forecasting Algorithm Based on Gene Expression Programming

doi:10.3969/j.issn.1006-2475.2012.02.006

Computer and Modernization ›› 2012, Vol. 198 ›› Issue (2): 19-21.doi: 10.3969/j.issn.1006-2475.2012.02.006

• 算法设计与分析 • Previous Articles Next Articles

Power Load Forecasting Algorithm Based on Gene Expression Programming

XU Yun-yan

International Business Company of State Grid Electric Power Research Institute, Nanjing 210003, China

Received:2011-12-27 Revised:1900-01-01 Online:2012-02-24 Published:2012-02-24

Abstract

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

CLC Number:

TP301.6

XU Yun-yan. Power Load Forecasting Algorithm Based on Gene Expression Programming[J]. Computer and Modernization, 2012, 198(2): 19-21.

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Power Load Forecasting Algorithm Based on Gene Expression Programming

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