Fuzzy neural very-short-term load forecasting based on chaotic dynamics reconstruction

被引：0
|
作者：
Yang, HY [1 ]
Ye, H [1 ]
Wang, GZ [1 ]
Hu, TF [1 ]
机构：
[1] Tsing Hua Univ, Dept Automat, Beijing 100084, Peoples R China
来源：
ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 3, PROCEEDINGS | 2005年 / 3498卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper proposes an improved fuzzy neural system for very-short-term load forecasting problem, based on chaotic dynamics reconstruction techniques. The Grassberger-Procaccia algorithm and the Least Squares Regression method were applied to obtain the accurate value for the correlation dimension, which is used as an estimation of the model order. Based on that model order, an appropriately structured Fuzzy Neural System (FNS) for load forecasting was designed. Satisfactory experimental results were obtained in 15 minutes ahead electrical load forecasting from the electric utility in Shandong Heze area. And the same experiments using conventional Artificial Neural Network are also performed as a comparison with the proposed approach.
引用
收藏
页码：622 / 627
页数：6
相关论文
共 50 条
  • [41] Short-term load forecasting with artificial neural network and fuzzy logic
    Ma, WX
    Bai, XM
    Mu, LS
    POWERCON 2002: INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY, VOLS 1-4, PROCEEDINGS, 2002, : 1101 - 1104
  • [42] VISUAL VERY-SHORT-TERM MEMORY IS NONASSOCIATIVE
    WICKELGR.WA
    WHITMAN, PT
    JOURNAL OF EXPERIMENTAL PSYCHOLOGY, 1970, 84 (02): : 277 - &
  • [43] Neural network based very short term load prediction
    Chen, Dingguo
    York, Mike
    2008 IEEE/PES TRANSMISSION & DISTRIBUTION CONFERENCE & EXPOSITION, VOLS 1-3, 2008, : 423 - +
  • [44] The application of BP neural networks based on chaotic analysis algorithm in short-term power load forecasting
    Shen, Jia
    Zhang, Qing
    DCABES 2006 Proceedings, Vols 1 and 2, 2006, : 685 - 687
  • [45] Application of neural networks for very short-term load forecasting in power systems
    Chen, HC
    Huang, KH
    Chang, LY
    ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 3, PROCEEDINGS, 2005, 3498 : 628 - 633
  • [46] A neural network approach to very short-term load forecasting for power system
    Qingxin Su
    Na Deng
    Bingyong Tang
    DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS, 2006, 13 : 509 - 511
  • [47] Based on Dynamic Recursion of Fuzzy Neural Network in the Short-term Load Forecasting of Power System
    Wang, Lei
    Lun, Zhixin
    Cao, Xiushuang
    2010 INTERNATIONAL CONFERENCE ON INFORMATION, ELECTRONIC AND COMPUTER SCIENCE, VOLS 1-3, 2010, : 336 - +
  • [48] Short-term Load Forecasting based on Fuzzy Clustering Wavelet Decomposition and BP Neural Network
    Pan, Xueping
    Zhang, Ping
    Xue, Wenchao
    2011 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2011,
  • [49] A CLUSTERING-BASED FUZZY WAVELET NEURAL NETWORK MODEL FOR SHORT-TERM LOAD FORECASTING
    Kodogiannis, Vassilis S.
    Amina, Mahdi
    Petrounias, Ilias
    INTERNATIONAL JOURNAL OF NEURAL SYSTEMS, 2013, 23 (05)
  • [50] The Short-term Load Forecasting Based on Fuzzy Inference Rules
    Wang Xiao-Wen
    2012 CHINA INTERNATIONAL CONFERENCE ON ELECTRICITY DISTRIBUTION (CICED), 2012,
12345