The prediction of cement energy demand based on support vector machine

被引：0
作者：
Zhang, Xin [1 ]
Jing, Shaohong [1 ]
机构：
[1] Univ Jinan, Sch Elect Engn, Jinan 250022, Peoples R China
来源：
PROCEEDINGS OF THE 2015 4TH INTERNATIONAL CONFERENCE ON COMPUTER, MECHATRONICS, CONTROL AND ELECTRONIC ENGINEERING (ICCMCEE 2015) | 2015年 / 37卷
关键词：
support vector regression; cement energy forecast;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Aiming at the energy waste problems resulting from the contradiction between energy demand and supply in cement production, an energy demand prediction model based on support vector regression is built. And energy consumption of a cement enterprises in Shanxi cement production line, for example, to validate the model simulations show that the model has good predictive results.
引用
收藏
页码：1162 / 1167
页数：6
相关论文
共 50 条
  • [1] Support vector machine prediction model based on chaos theory
    Liangong S.
    Huixin W.
    Zezhong Z.
    1600, Science and Engineering Research Support Society (11): : 173 - 184
  • [2] Electrical energy demand prediction using Artificial Neural Networks and Support Vector Regression
    Ruas, Gabriel I. S.
    Bragatto, Ticiano A. C.
    Lamar, Marcus V.
    Aoki, Alexandre R.
    de Rocco, Silvio M.
    2008 3RD INTERNATIONAL SYMPOSIUM ON COMMUNICATIONS, CONTROL AND SIGNAL PROCESSING, VOLS 1-3, 2008, : 1431 - +
  • [3] Vector field-based support vector regression for building energy consumption prediction
    Zhong, Hai
    Wang, Jiajun
    Jia, Hongjie
    Mu, Yunfei
    Lv, Shilei
    APPLIED ENERGY, 2019, 242 : 403 - 414
  • [4] Potential of Machine Learning Based Support Vector Regression for Solar Radiation Prediction
    Mohamed, Zahraa E.
    Saleh, Hussein H.
    COMPUTER JOURNAL, 2023, 66 (02) : 399 - 415
  • [5] Prediction of Building Lighting Energy Consumption Based on Support Vector Regression
    Liu, Dandan
    Chen, Qijun
    2013 9TH ASIAN CONTROL CONFERENCE (ASCC), 2013,
  • [6] Support vector machine based prediction of photovoltaic module and power station parameters
    Ahmad, Ashfaq
    Jin, Yi
    Zhu, Changan
    Javed, Iqra
    Akram, M. Waqar
    Buttar, Noman Ali
    INTERNATIONAL JOURNAL OF GREEN ENERGY, 2020, 17 (03) : 219 - 232
  • [7] Prediction of biochemical oxygen demand with genetic algorithm-based support vector regression
    Liu, Y. Z.
    Chen, Zhiyuan
    WATER QUALITY RESEARCH JOURNAL, 2023, 58 (02) : 87 - 98
  • [8] Superiorities of support vector machine in fracture prediction and gassiness evaluation
    Research Institute of Petroleum Exploration and Development, PetroChina, Beijing 100083, China
    Shiyou Kantan Yu Kaifa, 2008, 5 (588-594):
  • [9] Local prediction of Complex Time Series based on Support Vector Machine and Differential Evolution algorithm
    Wang, Jun
    Zhang, Jia
    Xu, Huang-Chang
    SECOND INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN, VOL 2, PROCEEDINGS, 2009, : 425 - 428
  • [10] Size Prediction of Directed Energy Deposited Cladding Tracks Based on Support Vector Regression
    Yao Wang
    Huang Yanlu
    Yang Yongqiang
    CHINESE JOURNAL OF LASERS-ZHONGGUO JIGUANG, 2020, 47 (08):
12345