Application of GMDH to Short-term Load Forecasting

被引：0
|
作者：
Xu, Hongya [1 ]
Dong, Yao [2 ]
Wu, Jie [2 ]
Zhao, Weigang [2 ]
机构：
[1] Lanzhou Univ, Sch Phys Sci & Technol, Lanzhou, Peoples R China
[2] Lanzhou Univ, Sch Math & Stat, Lanzhou, Peoples R China
来源：
2010 INTERNATIONAL COLLOQUIUM ON COMPUTING, COMMUNICATION, CONTROL, AND MANAGEMENT (CCCM2010), VOL III | 2010年
关键词：
Group Method of Data Handling (GMDH); short-term load forecasting (STLF); ARIMA; NEURAL-NETWORKS; MODEL;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Daily power load forecasting plays a significant role in electrical power system operation and planning. Therefore, it is necessary to find automatic interrelations of data and select the optimal structure of model. However, obtaining high accuracy by using single model for short-term load forecasting (STLF) is not easy. In this paper, Group Method of Data Handling (GMDH) is applied to forecast electric load demand of New South Wales (NSW) in Australia from January 17, 2009 to January 18, 2009. Compared with outcomes obtained by ARIMA, we demonstrate that GMDH is a better method for STLF.
引用
收藏
页码：338 / 341
页数：4
相关论文
共 50 条
  • [1] Application of GMDH to Short-Term Load Forecasting
    Xu, Hongya
    Dong, Yao
    Wu, Jie
    Zhao, Weigang
    [J]. ADVANCES IN INTELLIGENT SYSTEMS, 2012, 138 : 27 - +
  • [2] Short-term Electric Load Forecasting Based on Wavelet Transform and GMDH
    Koo, Bon-Gil
    Lee, Heung-Seok
    Park, Juneho
    [J]. JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2015, 10 (03) : 832 - 837
  • [3] Sequential GMDH approach to short term load forecasting
    Chang, Chen-Sung
    [J]. JOURNAL OF STATISTICS & MANAGEMENT SYSTEMS, 2009, 12 (05): : 939 - 948
  • [4] Credibility forecasting in short-term load forecasting and its application
    Li, Canbing
    Li, Yijing
    Cao, Yijia
    Ma, Jin
    Kuang, Yonghong
    Zhang, Zhikun
    Li, Lijuan
    Wei, Jing
    [J]. IET GENERATION TRANSMISSION & DISTRIBUTION, 2015, 9 (13) : 1564 - 1571
  • [5] Application of load, regularity evaluation in short-term load forecasting
    Mu, G
    Chen, YH
    Ma, L
    [J]. 2002 IEEE REGION 10 CONFERENCE ON COMPUTERS, COMMUNICATIONS, CONTROL AND POWER ENGINEERING, VOLS I-III, PROCEEDINGS, 2002, : 1797 - 1800
  • [6] Application of RMLPNN model to short-term load forecasting
    Lu Jian-chang
    Sun Wei
    Li Jian-qiang
    [J]. Proceedings of 2005 Chinese Control and Decision Conference, Vols 1 and 2, 2005, : 351 - 354
  • [7] Application of neural networks for short-term load forecasting
    Afkhami, Reza
    Yazdi, F. Mosalman
    [J]. 2006 IEEE POWER INDIA CONFERENCE, VOLS 1 AND 2, 2006, : 24 - +
  • [8] NEURAL NETWORKS APPLICATION IN SHORT-TERM LOAD FORECASTING
    Tudose, Andrei
    Picioroaga, Irina
    Sidea, Dorian
    Bulac, Constantin
    [J]. UNIVERSITY POLITEHNICA OF BUCHAREST SCIENTIFIC BULLETIN SERIES C-ELECTRICAL ENGINEERING AND COMPUTER SCIENCE, 2021, 83 (02): : 231 - 240
  • [9] Application of BP Algorithm in Short-term Load Forecasting
    Xiao Shaohua
    Liu Xizhe
    [J]. 2014 CHINA INTERNATIONAL CONFERENCE ON ELECTRICITY DISTRIBUTION (CICED), 2014,
  • [10] SHORT-TERM LOAD FORECASTING
    GROSS, G
    GALIANA, FD
    [J]. PROCEEDINGS OF THE IEEE, 1987, 75 (12) : 1558 - 1573
12345