Forecasting of system marginal price of electricity using general regression neural network

被引：0
|
作者：
Lin Zhiling [1 ]
Jia Mingxing [1 ]
机构：
[1] NE Univ, Coll Informat Sci & Engn, Shenyang 110004, Peoples R China
来源：
ICCSE'2006: PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE & EDUCATION: ADVANCED COMPUTER TECHNOLOGY, NEW EDUCATION | 2006年
关键词：
electric market; system marginal price; general regression neural network; particle swarm optimization; forecasting;
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：
In the. electric market system marginal price (SMP) can help the company accept a fitness bidding strategy and yield good economic returns. But it is difficult to be forecasted because of its complexity and uncertainty. A general regression neural network was proposed to forecast SNIP because its foundation of probability conforms to SMP's uncertainty. The key of smoothing parameter was optimized by an improved particle swarm optimization method and three main factors of electrical load, historical corresponding hour SNIP value and current SNIP tendency were considered as independent variables. The simulation from actual data showed this method is effective.
引用
收藏
页码：768 / 771
页数：4
相关论文
共 50 条
  • [1] Predictions of system marginal price of electricity using recurrent neural network
    Lin, Zhiling
    Gao, Liqun
    Zhang, Dapeng
    [J]. WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 7592 - 7595
  • [2] Hybrid Local General Regression Neural Network and Harmony Search Algorithm for Electricity Price Forecasting
    Elattar, Ehab E.
    Elsayed, Salah K.
    Farrag, Tamer Ahmed
    [J]. IEEE ACCESS, 2021, 9 : 2044 - 2054
  • [3] Electricity price forecasting using Artificial Neural Network
    Ranjbar, M.
    Soleymani, S.
    Sadati, N.
    Ranjbar, A. M.
    [J]. 2006 IEEE INTERNATIONAL CONFERENCE ON POWER ELECTRONIC, DRIVES AND ENERGY SYSTEMS, VOLS 1 AND 2, 2006, : 931 - +
  • [4] Electricity price forecasting using generalized regression neural network based on principal components analysis
    Dong-xiao Niu
    Da Liu
    Mian Xing
    [J]. Journal of Central South University of Technology, 2008, 15 : 316 - 320
  • [5] Electricity price forecasting using generalized regression neural network based on principal components analysis
    牛东晓
    刘达
    邢棉
    [J]. Journal of Central South University, 2008, 15 (S2) : 316 - 320
  • [6] Electricity price forecasting using generalized regression neural network based on principal components analysis
    牛东晓
    刘达
    邢棉
    [J]. Journal of Central South University of Technology., 2008, 15(S2) (S2) - 320
  • [7] Electricity price forecasting using generalized regression neural network based on principal components analysis
    Niu Dong-xiao
    Liu Da
    Xing Mian
    [J]. JOURNAL OF CENTRAL SOUTH UNIVERSITY OF TECHNOLOGY, 2008, 15 (Suppl 2): : 316 - 320
  • [8] An electricity price interval forecasting by using residual neural network
    Chaweewat, Pornchai
    Singh, Jai Govind
    [J]. INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 2020, 30 (09):
  • [9] SHORT TERM ELECTRICITY PRICE FORECASTING USING NEURAL NETWORK
    Azmira, Intan W. A. R.
    Rahman, T. K. A.
    Zakaria, Z.
    Ahmad, Arfah
    [J]. COMPUTING & INFORMATICS, 4TH INTERNATIONAL CONFERENCE, 2013, 2013, : 103 - 108
  • [10] Electricity price forecasting using Enhanced Probability Neural Network
    Lin, Whei-Min
    Gow, Hong-Jey
    Tsai, Ming-Tang
    [J]. ENERGY CONVERSION AND MANAGEMENT, 2010, 51 (12) : 2707 - 2714
12345