Paper Title:
The Short-Term Load Forecasting Model Based on Improved Gene Expression Programming Arithmetic
  Abstract

Applying the improved gene expression programming arithmetic to optimization plan,the convergence rate and precision of the model can be improved,which can be used to load forecasting. Preprocessing the load sample data,and applying the flexible skills of the improved gene expression programming arithmetic ,the paper forecasts the whole point load of future short-term to see the same point load sequence of different work-day as sample.Through a case analysis,the improved gene expression programming arithmetic has been proved to have more efficiency and faster convergence rate than optimization methods.

  Info
Periodical
Advanced Materials Research (Volumes 219-220)
Edited by
Helen Zhang, Gang Shen and David Jin
Pages
1395-1398
DOI
10.4028/www.scientific.net/AMR.219-220.1395
Citation
Y. M. Li, J. M. Wang, "The Short-Term Load Forecasting Model Based on Improved Gene Expression Programming Arithmetic", Advanced Materials Research, Vols. 219-220, pp. 1395-1398, 2011
Online since
March 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Mi Young Shin, Seon Hee Park
Abstract:Clustering methods have been often used to find biologically relevant groups of genes or conditions based on their expression levels. Since...
343
Authors: Hu Jie, Jia Quan Feng, Da Lin Chen
Abstract:This paper proposed some improvement measures of Genetic Programming (GP) in data fitting, including developed new ways of crossover and...
2536
Authors: Ting Wang, Hao Xun Tan, Ren Ren Liu
Abstract:Generally, when we optimize the object code of expression in source program, we get the optimizing code in the binary tree of this...
1350
Authors: Xiao Li Yang, Si Ya Yang, Qiong He, Hong Yan Zhao
Chapter 06: Biochemistry
Abstract:The purpose of this study was to develop a novel prediction method for breast cancer based on gene expression data through using a...
401
Authors: Li Qin Wang, Gui Qiang Chen, Hong Hai Zhao
Chapter 14: Miscellaneous Researches for Tecnical Sciences
Abstract:After while the “Human Genome Project” proposes, the people complete measures the foreword plan after the multi-gene genome team, also starts...
2046