Short-term Load Forecasting Approach Based on RS and PSO Support Vector Machine

被引：0
|
作者：
Li Jin-ying [1 ]
Li Jin-chao [2 ]
机构：
[1] North China Elect Power Univ, Dept Econ Management, Baoding, Hebei, Peoples R China
[2] North China Elect Power Univ, Sch Business Adm, Baoding, Hebei, Peoples R China
来源：
2008 4TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-31 | 2008年
关键词：
short-term load forecasting; RS; PSO; SVM;
D O I：
暂无
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
Utilizing the advantages of RS(Rough Set) theory in processing large data and eliminating redundant information, the enormous historic data of power load were pre-conducted. Then the training data for the SVM(Support Vector Machine) were reduced. Next, the PSO(Particle Swarm Optimization) Is used to optimize the parameter of the SVM, the result Is that the SVM has even more global optimization ability. Using this model for the load forecasting, the result showed that It is a precision and speedy forecasting model.
引用
收藏
页码：8286 / +
页数：2
相关论文
共 50 条
  • [1] Support Vector Machine with PSO Algorithm in Short-term Load Forecasting
    Gao Rong
    Liu Xiaohua
    2008 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-11, 2008, : 1140 - 1142
  • [2] Short-term load forecasting based on support vector machine
    Jingmin Wang
    Kanzhang Wu
    Yongmei Wang
    DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS, 2006, 13 : 540 - 543
  • [3] Short-term load forecasting based on distributed support vector machine
    Liu Xiaohua
    Gao Rong
    Proceedings of the 24th Chinese Control Conference, Vols 1 and 2, 2005, : 336 - 339
  • [4] Support vector machines with PSO algorithm for short-term load forecasting
    Sun, Changyin
    Gong, Dengcai
    PROCEEDINGS OF THE 2006 IEEE INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL, 2006, : 676 - 680
  • [5] Short-term load forecasting based on support vector machine combined with clustering
    Gao, Rong
    Liu, Xiaohua
    General System and Control System, Vol I, 2007, : 135 - 138
  • [6] Research on Short-Term Gas Load Forecasting Based on Support Vector Machine Model
    Zhang, Chao
    Liu, Yi
    Zhang, Hui
    Huang, Hong
    Zhu, Wei
    LIFE SYSTEM MODELING AND INTELLIGENT COMPUTING, PT II, 2010, 6329 : 390 - +
  • [7] Short-term Load Forecasting of Local Power Grid Based on Support Vector Machine
    Hua, Jing
    Xiong, Wei
    Zhou, Yanping
    PROCEEDINGS OF THE 2017 7TH INTERNATIONAL CONFERENCE ON EDUCATION, MANAGEMENT, COMPUTER AND SOCIETY (EMCS 2017), 2017, 61 : 1851 - 1856
  • [8] Short-Term Load Forecasting of Power System Based on Support Vector Machine Theory
    Zou, Chao
    PROCEEDINGS OF THE 3RD INTERNATIONAL SYMPOSIUM ON NEW ENERGY AND ELECTRICAL TECHNOLOGY, 2023, 1017 : 174 - 181
  • [9] A Short-term Load Forecasting Based on Support Vector Regression
    Yu, Lu
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON MECHATRONICS, ELECTRONIC, INDUSTRIAL AND CONTROL ENGINEERING, 2015, 8 : 1055 - 1059
  • [10] A short-term load forecasting approach based on support vector machine with adaptive particle swarm optimization algorithm
    Liu, Jia
    Li, Dan
    Gao, Li-Qun
    Lu, Shun
    Dongbei Daxue Xuebao/Journal of Northeastern University, 2007, 28 (09): : 1229 - 1232
12345