A synchronous prediction model based on multi-channel CNN with moving window for coal and electricity consumption in cement calcination process

X Shi, G Huang, X Hao, Y Yang, Z Li - Sensors, 2021 - mdpi.com
The precision and reliability of the synchronous prediction of multi energy consumption
indicators such as electricity and coal consumption are important for the production …

Sliding window and dual-channel CNN (SWDC-CNN): A novel method for synchronous prediction of coal and electricity consumption in cement calcination process

X Shi, G Huang, X Hao, Y Yang, Z Li - Applied Soft Computing, 2022 - Elsevier
As a representative of the process industry, the cement industry consumes a large amount of
coal and electricity resources. This is mainly due to the irrational energy scheduling caused …

Energy consumption prediction in cement calcination process: A method of deep belief network with sliding window

X Hao, T Guo, G Huang, X Shi, Y Zhao, Y Yang - Energy, 2020 - Elsevier
Electricity consumption and coal consumption are two important indicators in the cement
calcination process. Modeling predictions of cement energy consumption support efforts …

Prediction of electricity consumption in cement production: a time-varying delay deep belief network prediction method

X Hao, Z Wang, Z Shan, Y Zhao - Neural Computing and Applications, 2019 - Springer
An important energy consumption index in cement production process is electricity
consumption whose accurate prediction is of great significance to optimize production …

Cement rotary kiln temperature prediction based on time-delay calculation and residual network and bidirectional novel gated recurrent unit multi-model fusion

X Xu, H Yang, K Xu, S Yin, Z Wang, C Zhu, C Song - Measurement, 2023 - Elsevier
China's cement production energy consumption accounts for more than 10% of the country's
total energy consumption, and its emissions account for about 60% of the country's industrial …

SA-LSTMs: A new advance prediction method of energy consumption in cement raw materials grinding system

G Liu, K Wang, X Hao, Z Zhang, Y Zhao, Q Xu - Energy, 2022 - Elsevier
Electricity consumption is a major energy efficiency indicator in cement raw materials
grinding system. Advance prediction of electricity consumption provides the basis for cement …

Forecast of coal consumption in salt lake enterprises based on temporal gated recurrent unit network with squeeze-and-excitation attention

Y Wang, W Xie, C Liu, J Luo, Z Qiu, G Deconinck - Energy, 2024 - Elsevier
Accurate coal consumption forecasting is key to improving energy supply efficiency and
strategic planning. However, current forecasting methods mainly emphasize temporal …

Multivariate multi-step time series prediction of induction motor situation based on fused temporal-spatial features

C Chen, Y Yuan, W Sun, F Zhao - International Journal of Hydrogen Energy, 2024 - Elsevier
Induction motor temperature situation prediction provides a decision basis for preventive
maintenance in coal mining companies. However, multi-step prediction of induction motor …

Online cement clinker quality monitoring: A soft sensor model based on multivariate time series analysis and CNN

Y Zhao, B Ding, Y Zhang, L Yang, X Hao - ISA transactions, 2021 - Elsevier
The content of free calcium oxide (f-CaO) in cement clinker is an important index for cement
quality. Aiming at the characteristics of strong coupling, time-varying delay and highly non …

Multivariate time-series modeling for forecasting sintering temperature in rotary kilns using DCGNet

X Zhang, Y Lei, H Chen, L Zhang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The sintering temperature (ST) is a critical index for condition monitoring and process control
of coal-fired equipment and is widely used in the production of cement, aluminum, electricity …