Application of Support Vector Regression in Power System Short Term Load Forecasting

被引：2
|
作者：
Jiang, Huilan [1 ]
Yu, Xiaoming [1 ]
Yu, Yaozhou [2 ]
机构：
[1] Tianjin Univ, Minist Educ, Key Lab Power Syst Simulat & Control, Tianjin 300072, Peoples R China
[2] Elect Power Design Inst Tianjin, Tianjin 300200, Peoples R China
来源：
ICNC 2008: FOURTH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 2, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/ICNC.2008.768
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 presents a new method-combined use of FCM clustering and support vector regression (SVR) for short term load forecasting in power systems. Using the above advantages of SVR, the complicated nonlinear relationships between some forecasting influence factors and the forecasting load can be regressed Meanwhile, this paper chooses training samples by fuzzy clustering according to similarity degree of the input samples in consideration of the periodic characteristic of load change. The results of the practical applications of the proposed method show the usefulness of this method, both the precision and speed of load forecasting can be improved.
引用
收藏
页码：26 / +
页数：2
相关论文
共 50 条
  • [31] A Comparative Study of Ensemble Support Vector Regression Methods for Short-term Load Forecasting
    Ye, Jianhua
    Yang, Li
    2018 5TH INTERNATIONAL CONFERENCE ON SYSTEMS AND INFORMATICS (ICSAI), 2018, : 139 - 143
  • [32] Combining KPCA with Support Vector Regression Machine for Short-term Electricity load Forecasting
    Zhang, Caiqing
    Lu, Pan
    Liu, Zejian
    2008 INTERNATIONAL CONFERENCE ON RISK MANAGEMENT AND ENGINEERING MANAGEMENT, ICRMEM 2008, PROCEEDINGS, 2008, : 305 - 310
  • [33] Short-term Load Forecasting by Integration of Phase Space Reconstruction, Support Vector Regression and Parameter Tuning System
    Zhang, Wenyu
    Che, Jinxing
    Wang, Jianzhou
    Liang, Jinzhao
    2008 INTERNATIONAL SEMINAR ON FUTURE INFORMATION TECHNOLOGY AND MANAGEMENT ENGINEERING, PROCEEDINGS, 2008, : 402 - +
  • [34] Short Term Load Forecasting of Power System
    Fan, Jiahui
    PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON COMPUTER ENGINEERING, INFORMATION SCIENCE & APPLICATION TECHNOLOGY (ICCIA 2017), 2017, 74 : 701 - 704
  • [35] Short - term load forecasting of power system
    Jiang, Zongheng
    PROCEEDINGS OF THE ADVANCES IN MATERIALS, MACHINERY, ELECTRICAL ENGINEERING (AMMEE 2017), 2017, 114 : 445 - 447
  • [36] Very Short-Term Load Forecasting Using Hybrid Algebraic Prediction and Support Vector Regression
    Capuno, Marlon
    Kim, Jung-Su
    Song, Hwachang
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2017, 2017
  • [37] Short-Term Load Forecasting Model Based on Online Sequential Extreme Support Vector Regression
    Jiang M.
    Gu D.
    Kong J.
    Tian Y.
    Jiang, Min (minjiang@jiangnan.edu.cn), 2018, Power System Technology Press (42): : 2240 - 2247
  • [38] Short-term load forecasting based on correlation coefficient and weighted support vector regression machine
    Liu, Limei
    PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND MANAGEMENT INNOVATION, 2015, 28 : 1077 - 1081
  • [39] Short-Term Load Forecasting Using Support Vector Regression-Based Local Predictor
    Li, M. S.
    Wu, J. L.
    Ji, T. Y.
    Wu, Q. H.
    Zhu, L.
    2015 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, 2015,
  • [40] Sequential grid approach based support vector regression for short-term electric load forecasting
    Yang, Youlong
    Che, Jinxing
    Deng, Chengzhi
    Li, Li
    APPLIED ENERGY, 2019, 238 : 1010 - 1021
12345