Attention mechanism-aided data-and knowledge-driven soft sensors for predicting blast furnace gas generation
S Liu, W Sun - Energy, 2023 - Elsevier
Blast furnace gas (BFG) is an important energy-carrying byproduct of the iron and steel
industry. High-accuracy prediction of BFG generation is the basis of the dynamic balance of …
industry. High-accuracy prediction of BFG generation is the basis of the dynamic balance of …
A prediction model of blast furnace slag viscosity based on principal component analysis and k-nearest neighbor regression
Viscosity is considered to be a significant indicator of the metallurgical property of blast
furnace (BF) slag. However, a BF is a complicated black box so that the measurement of the …
furnace (BF) slag. However, a BF is a complicated black box so that the measurement of the …
A novel committee machine to predict the quantity of impurities in hot metal produced in blast furnace
W Cardoso, R Di Felice - Computers & chemical engineering, 2022 - Elsevier
In recent years, interest in artificial intelligence and the integration of Industry 4.0
technologies to improve and monitor steel production conditions has increased. Every day …
technologies to improve and monitor steel production conditions has increased. Every day …
Assessing the efficiency of the off-gas network management in integrated steelworks
The European Steel industry is spending considerable efforts in order to improve the socio-
economic and environmental sustainability of its processes by promoting any development …
economic and environmental sustainability of its processes by promoting any development …
Machine learning-based models for supporting optimal exploitation of process off-gases in integrated steelworks
Within integrated steelworks, several sub-processes produce off-gases, which are suitable
for reuse as energy sources for other internal processes as well as for the production of …
for reuse as energy sources for other internal processes as well as for the production of …
[PDF][PDF] Prediction of Sulfur in the Hot Metal based on Data Mining and Artificial Neural Networks.
W Cardoso, R di Felice - DATA, 2022 - scitepress.org
In recent years, interest in artificial intelligence and the integration of Industry 4.0
technologies to improve and monitor steel production conditions has increased. In the …
technologies to improve and monitor steel production conditions has increased. In the …
A quadratic programming model for the optimization of off-gas networks in integrated steelworks
The European steel industry is constantly promoting developments, which can increase
efficiency and lower the environmental impact of the steel production processes. In …
efficiency and lower the environmental impact of the steel production processes. In …
基于延迟回声状态网的光伏电池板温度预测方法
范思远， 姚显双， 曹生现， 赵波 - 自动化学报, 2020 - aas.net.cn
光伏电池温度变化影响光伏系统输出的稳定性, 精准地预测光伏电池板温度的变化趋势,
对光伏系统智能运行具有重要意义. 为了更好地预测温度的变化趋势, 本文考虑了光伏电池板 …
对光伏系统智能运行具有重要意义. 为了更好地预测温度的变化趋势, 本文考虑了光伏电池板 …
[PDF][PDF] Industrial Symbiosis and Energy Effi-ciency in European Process Industry: State of Art and Future Scenario
TA Branca, V Colla, MI Pistelli, EL Faraci, F Cirilli - 2024 - aspire2050.eu
The objective of this deliverable is to describe the current state of the implementation of the
Industrial Symbiosis (IS) and Energy Efficiency (EE) concepts in the European Energy …
Industrial Symbiosis (IS) and Energy Efficiency (EE) concepts in the European Energy …
Data Mining and Machine Learning to Predict the Sulphur Content in the Hot Metal of a Coke-Fired Blast Furnace
W Cardoso, R Di Felice - International Conference on Data Management …, 2021 - Springer
In order to combat climate change, the European Parliament adopted the European Climate
Law, making the goal of climate neutrality by 2050 legally binding, in this sense, there has …
Law, making the goal of climate neutrality by 2050 legally binding, in this sense, there has …