An Interpretable Time Series Forecasting Model for Predicting NOx Emission Concentration in Ferroalloy Electric Arc Furnace Plants
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Ding, Xiaosong & Feng, Chong & Yu, Peiling & Li, Kaiwen & Chen, Xi, 2023. "Gradient boosting decision tree in the prediction of NOx emission of waste incineration," Energy, Elsevier, vol. 264(C).
- Xue, Guixiang & Qi, Chengying & Li, Han & Kong, Xiangfei & Song, Jiancai, 2020. "Heating load prediction based on attention long short term memory: A case study of Xingtai," Energy, Elsevier, vol. 203(C).
- Daniel Trnka, 2020. "Policies, regulatory framework and enforcement for air quality management: The case of Korea," OECD Environment Working Papers 158, OECD Publishing.
- Jiang, Ping & Liu, Zhenkun & Abedin, Mohammad Zoynul & Wang, Jianzhou & Yang, Wendong & Dong, Qingli, 2024. "Profit-driven weighted classifier with interpretable ability for customer churn prediction," Omega, Elsevier, vol. 125(C).
- Qianqiao Shen & Guiyong Wang & Yuhua Wang & Boshun Zeng & Xuan Yu & Shuchao He, 2023. "Prediction Model for Transient NOx Emission of Diesel Engine Based on CNN-LSTM Network," Energies, MDPI, vol. 16(14), pages 1-21, July.
- Nan Li & You Lv & Yong Hu, 2022. "Prediction of NOx Emissions from a Coal-Fired Boiler Based on Convolutional Neural Networks with a Channel Attention Mechanism," Energies, MDPI, vol. 16(1), pages 1-11, December.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Minyoung Roh & Seungho Jeon & Soontae Kim & Sha Yu & Almas Heshmati & Suduk Kim, 2020. "Modeling Air Pollutant Emissions in the Provincial Level Road Transportation Sector in Korea: A Case Study of the Zero-Emission Vehicle Subsidy," Energies, MDPI, vol. 13(15), pages 1-22, August.
- Wang, Lei & Wang, Xinyu & Zhao, Zhongchao, 2024. "Mid-term electricity demand forecasting using improved multi-mode reconstruction and particle swarm-enhanced support vector regression," Energy, Elsevier, vol. 304(C).
- Ling, Jihong & Zhang, Bingyang & Dai, Na & Xing, Jincheng, 2023. "Coupling input feature construction methods and machine learning algorithms for hourly secondary supply temperature prediction," Energy, Elsevier, vol. 278(C).
- Liu, Zhenkun & Zhang, Ying & Abedin, Mohammad Zoynul & Wang, Jianzhou & Yang, Hufang & Gao, Yuyang & Chen, Yinghao, 2024. "Profit-driven fusion framework based on bagging and boosting classifiers for potential purchaser prediction," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
- Yongsoo Choi & Garam Byun & Jong-Tae Lee, 2022. "Temporal Heterogeneity of Short-Term Effects of Particulate Matter on Stroke Outpatients in Seven Major Cities of the Republic of Korea," IJERPH, MDPI, vol. 19(19), pages 1-9, September.
- Runge, Jason & Saloux, Etienne, 2023. "A comparison of prediction and forecasting artificial intelligence models to estimate the future energy demand in a district heating system," Energy, Elsevier, vol. 269(C).
- Liu, Zhikai & Zhang, Huan & Wang, Yaran & You, Shijun & Dai, Ting & Jiang, Yan, 2024. "Evaluation of the controllability of multi-family building with radiator heating systems: A frequency domain approach," Energy, Elsevier, vol. 294(C).
- Feng, Yi & Yin, Yunqiang & Wang, Dujuan & Ignatius, Joshua & Cheng, T.C.E. & Marra, Marianna & Guo, Yihan, 2024. "Enhancing e-commerce customer churn management with a profit- and AUC-focused prescriptive analytics approach," Journal of Business Research, Elsevier, vol. 184(C).
- Li, Guannan & Li, Fan & Ahmad, Tanveer & Liu, Jiangyan & Li, Tao & Fang, Xi & Wu, Yubei, 2022. "Performance evaluation of sequence-to-sequence-Attention model for short-term multi-step ahead building energy predictions," Energy, Elsevier, vol. 259(C).
- Jason Runge & Radu Zmeureanu, 2021. "A Review of Deep Learning Techniques for Forecasting Energy Use in Buildings," Energies, MDPI, vol. 14(3), pages 1-26, January.
- Zang, Haixiang & Xu, Ruiqi & Cheng, Lilin & Ding, Tao & Liu, Ling & Wei, Zhinong & Sun, Guoqiang, 2021. "Residential load forecasting based on LSTM fusing self-attention mechanism with pooling," Energy, Elsevier, vol. 229(C).
- Cui, Mianshan, 2022. "District heating load prediction algorithm based on bidirectional long short-term memory network model," Energy, Elsevier, vol. 254(PA).
- Lifang Zhang & Mohammad Zoynul Abedin & Zhenkun Liu, 2024. "Incorporating media news to predict financial distress: Case study on Chinese listed companies," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(5), pages 1374-1398, August.
- Talaat, Fatma M. & Kabeel, A.E. & Shaban, Warda M., 2024. "The role of utilizing artificial intelligence and renewable energy in reaching sustainable development goals," Renewable Energy, Elsevier, vol. 235(C).
- Ji, Ying & Chen, Xiang & Yang, Xinyu & Wang, Xinyue & Wang, Xiaoxia & Xie, Jingchao & Ju, Guidong, 2024. "Research on the framework and meteorological parameter optimization method of dynamic heating load prediction model for heat-exchange stations," Energy, Elsevier, vol. 309(C).
- Niu, Zhewen & Han, Xiaoqing & Zhang, Dongxia & Wu, Yuxiang & Lan, Songyan, 2024. "Interpretable wind power forecasting combining seasonal-trend representations learning with temporal fusion transformers architecture," Energy, Elsevier, vol. 306(C).
- repec:osf:socarx:d6p9h_v1 is not listed on IDEAS
- Quanwei, Tan & Guijun, Xue & Wenju, Xie, 2024. "MGMI: A novel deep learning model based on short-term thermal load prediction," Applied Energy, Elsevier, vol. 376(PA).
- Wang, Jianguo & Han, Lincheng & Zhang, Xiuyu & Wang, Yingzhou & Zhang, Shude, 2023. "Electrical load forecasting based on variable T-distribution and dual attention mechanism," Energy, Elsevier, vol. 283(C).
- Tan, Quanwei & Cao, Chunhua & Xue, Guijun & Xie, Wenju, 2024. "Short-term heating load forecasting model based on SVMD and improved informer," Energy, Elsevier, vol. 312(C).
- Ammar Javed & Farheen Aamir & Umar Farooq Gohar & Hamid Mukhtar & Muhammad Zia-UI-Haq & Modhi O. Alotaibi & May Nasser Bin-Jumah & Romina Alina Marc (Vlaic) & Oana Lelia Pop, 2021. "The Potential Impact of Smog Spell on Humans’ Health Amid COVID-19 Rages," IJERPH, MDPI, vol. 18(21), pages 1-19, October.
More about this item
Keywords
NOx emission; electric arc furnace; deep learning; explainable artificial intelligence;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:12:y:2024:i:6:p:878-:d:1358311. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.