Using interpretable machine learning to predict the electrical energy consumption of an electric arc furnace

被引:0
|
作者
Carlsson, Leo S. [1 ]
Samuelsson, Peter B. [1 ]
Jönsson, Pär G. [1 ]
机构
[1] Royal Institute of Technology, Stockholm, Sweden
来源
Stahl und Eisen | 2019年 / 139卷 / 09期
关键词
9;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:24 / 29
相关论文
共 50 条
  • [31] Prediction of electrical energy consumption based on machine learning technique
    Rita Banik
    Priyanath Das
    Srimanta Ray
    Ankur Biswas
    Electrical Engineering, 2021, 103 : 909 - 920
  • [32] Thermodynamic analysis of solid waste and energy consumption to reduce the effects of an electric arc furnace on the environment
    Koc, Yildiz
    Yagli, Huseyin
    Ozdes, Enver Onur
    Baltacioglu, Ertugrul
    Koc, Ali
    INTERNATIONAL JOURNAL OF GLOBAL WARMING, 2019, 19 (03) : 308 - 323
  • [33] Analysis of Electrical Energy Consumption in a Novel Direct Current Submerged Arc Furnace for Ferrochrome Production
    Yu, Yang
    Li, Baokuan
    Liu, Zhongqiu
    Qi, Fengsheng
    Liu, Chengjun
    Rong, Wenjie
    Kuang, Shibo
    METALLURGICAL AND MATERIALS TRANSACTIONS B-PROCESS METALLURGY AND MATERIALS PROCESSING SCIENCE, 2023, 54 (05): : 2370 - 2382
  • [34] Analysis of Electrical Energy Consumption in a Novel Direct Current Submerged Arc Furnace for Ferrochrome Production
    Yang Yu
    Baokuan Li
    Zhongqiu Liu
    Fengsheng Qi
    Chengjun Liu
    Wenjie Rong
    Shibo Kuang
    Metallurgical and Materials Transactions B, 2023, 54 : 2370 - 2382
  • [35] Changes in the Electrical Parameters during the Heat in an Electric Arc Furnace
    Mironov, Yu. M.
    RUSSIAN METALLURGY, 2022, 2022 (06): : 619 - 624
  • [36] Changes in the Electrical Parameters during the Heat in an Electric Arc Furnace
    Yu. M. Mironov
    Russian Metallurgy (Metally), 2022, 2022 : 619 - 624
  • [37] Identifying electrical conductivity in topsoil by interpretable machine learning
    Bulent Tutmez
    Modeling Earth Systems and Environment, 2024, 10 : 1869 - 1881
  • [38] Analysis of Electric Energy Consumption Profiles Using a Machine Learning Approach: A Paraguayan Case Study
    Morales, Felix
    Garcia-Torres, Miguel
    Velazquez, Gustavo
    Daumas-Ladouce, Federico
    Gardel-Sotomayor, Pedro E.
    Gomez-Vela, Francisco
    Divina, Federico
    Vazquez Noguera, Jose Luis
    Sauer Ayala, Carlos
    Pinto-Roa, Diego P.
    Mello-Roman, Julio Cesar
    Becerra-Alonso, David
    ELECTRONICS, 2022, 11 (02)
  • [39] Identifying electrical conductivity in topsoil by interpretable machine learning
    Tutmez, Bulent
    MODELING EARTH SYSTEMS AND ENVIRONMENT, 2024, 10 (02) : 1869 - 1881
  • [40] A process for saving energy and time in electric arc furnace
    Mottahedi, Ali Akbar
    Sohn International Symposium Advanced Processing of Metals and Materials, Vol 2: THERMO AND PHYSICOCHEMICAL PRINCIPLES: IRON AND STEEL MAKING, 2006, : 363 - 370