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

页码：1162 / 1167

页数：6

共 50 条

[21] Energy Dissipation Prediction for Stepped Spillway Based on Genetic Algorithm-Support Vector Regression
Jiang, Lei
Diao, Mingjun
Xue, Hongcheng
Sun, Haomiao
JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING, 2018, 144 (04)
[22] Pressure Signal Prediction of Aviation Hydraulic Pumps Based on Phase Space Reconstruction and Support Vector Machine
Li, Yuan
Wang, Zhuojian
Li, Zhe
Jiang, Zihan
IEEE ACCESS, 2021, 9 : 2966 - 2974
[23] Time series prediction based on support vector regression
College of Information and Engineering, Northeastern University, Shenyang, 110004, China
Inf. Technol. J., 2006, 2 (353-357): : 353 - 357
[24] Smart Growth Prediction Based on Support Vector Regression
Li, Feiyang
Chen, Wenjie
Chen, Weijian
Cai, Nian
PROCEEDINGS OF THE 2017 2ND INTERNATIONAL CONFERENCE ON MODELLING, SIMULATION AND APPLIED MATHEMATICS (MSAM2017), 2017, 132 : 152 - 155
[25] Prediction of Band Gap Energy of Doped Graphitic Carbon Nitride Using Genetic Algorithm-Based Support Vector Regression and Extreme Learning Machine
Owolabi, Taoreed O.
Abd Rahman, Mohd Amiruddin
SYMMETRY-BASEL, 2021, 13 (03): : 1 - 17
[26] Demand Forecasting of Supply Chain Based on Support Vector Regression Method
Wang Guanghui
2012 INTERNATIONAL WORKSHOP ON INFORMATION AND ELECTRONICS ENGINEERING, 2012, 29 : 280 - 284
[27] Analysis of support vector regression kernels for energy storage efficiency prediction
Ighravwe, Desmond Eseoghene
Mashao, Daniel
ENERGY REPORTS, 2020, 6 : 634 - 639
[28] SCATTER-SEARCH WITH SUPPORT VECTOR MACHINE FOR PREDICTION OF RELATIVE SOLVENT ACCESSIBILITY
Kashefi, Amir Hosein
Meshkin, Alireza
Zargoosh, Mina
Zahiri, Javad
Taheri, Mohsen
Ashtiani, Saman
EXCLI JOURNAL, 2013, 12 : 52 - 63
[29] Self-discharge prediction method for lithium-ion batteries based on improved support vector machine
Liu, Zhengyu
He, Huijuan
Xie, Juan
Wang, Keqing
Huang, Wei
JOURNAL OF ENERGY STORAGE, 2022, 55
[30] Eye gaze calibration based on support vector regression machine
Huang, Yaqin
Dong, Xiucheng
Hao, Minggang
2011 9TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA 2011), 2011, : 454 - 456

← 1 2 3 4 5 →