Volume 7 Number 6 (Jun. 2012)
Home > Archive > 2012 > Volume 7 Number 6 (Jun. 2012) >
JSW 2012 Vol.7(6): 1273-1280 ISSN: 1796-217X
doi: 10.4304/jsw.7.6.1273-1280

The Load Forecasting Model Based on Bayes- GRNN

Yanmei Li and Jingmin Wang
School of Business and Administration, North China Electric Power University, Baoding 071003, China

Abstract—Comparison with the classical BP neural network, the generalized regression neural network requires not periodic training process but a smoothing parameter. The model has steady and fast speed, and meanwhile, the connection weight of different neurons is not necessary to be adjusted in the training process. The paper establishes the index system of GRNN forecasting model, and then uses Bayes theory to reduce them, which will be inputting variables of GRNN model. The method is testified to get higher speed and accuracy by simulation of actual data and comparison to classical BP neural network.

Index Terms—Bayes, load forecasting, generalized regression neural network

[PDF]

Cite: Yanmei Li and Jingmin Wang, "The Load Forecasting Model Based on Bayes- GRNN," Journal of Software vol. 7, no. 6, pp. 1273-1280, 2012.

General Information

ISSN: 1796-217X (Online)
Frequency: Monthly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jsw@iap.org
  • Jun 25, 2019 News!

    Papers published in JSW Vol. 14, No. 1- Vol. 14 No. 6 have been indexed by DBLP.    [Click]

  • Jun 25, 2019 News!

    Vol.13, No.9 has been indexed by EI (Inspec).   [Click]

  • Aug 01, 2018 News!

    [CFP] 2019 the annual meeting of JSW Editorial Board, ICCSM 2019, will be held in Barcelona, Spain, July 14-16, 2019.   [Click]

  • Jul 10, 2019 News!

    Vol 14, No.8 has been published with online version 4 original aritcles from 2 countries are published in this issue.    [Click]

  • Jul 22, 2019 News!

    Welcome Prof Ferhat Khendek from Canada to join the Editorial board of JSW    [Click]