Short-term load forecasting using neural network with principal component analysis

被引：0
|
作者：
Guo, XC [1 ]
Chen, ZY [1 ]
Ge, HW [1 ]
Liang, YC [1 ]
机构：
[1] Jilin Univ, Coll Comp Sci & Technol, Changchun 130012, Peoples R China
来源：
PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2004年
关键词：
neural networks; principal component analysis; single parameter dynamic search algorithm (SPDS); short-term load 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：
A neural-network-based approach for short-term load forecasting of electrical power is proposed. The principal component analysis (PCA) technique is used to reduce the original electric load variables to several characteristic variables. A single parameter dynamic search algorithm (SPDS) is employed to train the neural network. Since the training sample sets can be chosen before forecasting, the interference of the non-correlative samples for the forecasting can be avoided. The effectiveness and the feasibility of on line forecasting of the proposed method are examined using simulated experiments.
引用
收藏
页码：3365 / 3369
页数：5
相关论文
共 50 条
  • [1] Hybrid Short-term Load Forecasting Using Principal Component Analysis and MEA-Elman Network
    Bao, Guangqing
    Lin, Qilin
    Gong, Dunwei
    Shao, Huixing
    INTELLIGENT COMPUTING METHODOLOGIES, ICIC 2016, PT III, 2016, 9773 : 671 - 683
  • [2] Short-term load forecasting using Fuzzy Neural Network
    Shao, S
    Sun, YM
    FOURTH INTERNATIONAL CONFERENCE ON ADVANCES IN POWER SYSTEM CONTROL, OPERATION & MANAGEMENT, VOLS 1 AND 2, 1997, : 131 - 134
  • [3] Short-Term Load Forecasting Using Artificial Neural Network
    Buhari, Muhammad
    Adamu, Sanusi Sani
    INTERNATIONAL MULTICONFERENCE OF ENGINEERS AND COMPUTER SCIENTISTS, IMECS 2012, VOL I, 2012, : 83 - 88
  • [4] Short-term load forecasting using interval arithmetic backpropagation neural network
    Fang, Reng-Cun
    Zhou, Jian-Zhong
    Liu, Fang
    Peng, Bing
    PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2006, : 2872 - +
  • [5] Short-term load forecasting using optimized neural network with genetic algorithm
    Tian, L
    Noore, A
    2004 INTERNATIONAL CONFERENCE ON PROBABILISTIC METHODS APPLIED TO POWER SYSTEMS, 2004, : 135 - 140
  • [6] Short Term Electric Power Load Forecasting Using Principal Component Analysis and Recurrent Neural Networks
    Veeramsetty, Venkataramana
    Chandra, Dongari Rakesh
    Grimaccia, Francesco
    Mussetta, Marco
    FORECASTING, 2022, 4 (01): : 149 - 164
  • [7] Short-term energy load forecasting using recurrent neural network
    Rashid, T
    Kechadi, T
    Huang, BQ
    Proceedings of the Eighth IASTED International Conference on Artificial Intelligence and Soft Computing, 2004, : 276 - 281
  • [8] NEURAL NETWORK BASED SHORT-TERM LOAD FORECASTING
    LU, CN
    WU, HT
    VEMURI, S
    IEEE TRANSACTIONS ON POWER SYSTEMS, 1993, 8 (01) : 336 - 342
  • [9] Neural network design for short-term load forecasting
    Charytoniuk, W
    Chen, MS
    DRPT2000: INTERNATIONAL CONFERENCE ON ELECTRIC UTILITY DEREGULATION AND RESTRUCTURING AND POWER TECHNOLOGIES, PROCEEDINGS, 2000, : 554 - 561
  • [10] Short-term traffic forecasting based on principal component analysis and a generalized regression neural network for satellite networks
    Liu Ziluan
    Li Xin
    The Journal of China Universities of Posts and Telecommunications, 2018, 25 (01) : 15 - 28
12345