Deep learning applications in manufacturing operations: a review of trends and ways forward
Deep learning applications in manufacturing operations: a review of trends and ways forward |
Emerald Insight Books and journals Case studies Expert Briefings Open Access Publish with …
Emerald Insight Books and journals Case studies Expert Briefings Open Access Publish with …
A systematic literature review of deep learning neural network for time series air quality forecasting
Rapid progress of industrial development, urbanization and traffic has caused air quality
reduction that negatively affects human health and environmental sustainability, especially …
reduction that negatively affects human health and environmental sustainability, especially …
Predicting electrical power output of combined cycle power plants using a novel artificial neural network optimized by electrostatic discharge algorithm
Y Zhao, LK Foong - Measurement, 2022 - Elsevier
Combined cycle power plants (CCPP) are among the most sophisticated, yet efficient,
systems for producing electrical energy. Hence, simulating their performance has been an …
systems for producing electrical energy. Hence, simulating their performance has been an …
Auto-encoder-extreme learning machine model for boiler NOx emission concentration prediction
An automatic encoder (AE) extreme learning machine (ELM)-AE-ELM model is proposed to
predict the NOx emission concentration based on the combination of mutual information …
predict the NOx emission concentration based on the combination of mutual information …
NOx emission prediction using a lightweight convolutional neural network for cleaner production in a down-fired boiler
Z Wang, X Peng, S Cao, H Zhou, S Fan, K Li… - Journal of Cleaner …, 2023 - Elsevier
The selective catalytic reduction (SCR) denitrification efficiency of coal-fired boilers is used
to assess the clean production of power plants. Accurate predictions of NOx emissions at the …
to assess the clean production of power plants. Accurate predictions of NOx emissions at the …
Pre-combustion CO2 capture using amine-based absorption process for blue H2 production from steam methane reformer
A novel pre-combustion CO 2 capture process using methyl diethanolamine with piperazine
(MDEA/PZ) was investigated for the production of blue H 2 from a steam methane reformer …
(MDEA/PZ) was investigated for the production of blue H 2 from a steam methane reformer …
[HTML][HTML] Machine Learning for Advanced Emission Monitoring and Reduction Strategies in Fossil Fuel Power Plants
Fossil fuel power plants are a significant contributor to global carbon dioxide (CO2) and
nitrogen oxide (NOx) emissions. Accurate monitoring and effective reduction of these …
nitrogen oxide (NOx) emissions. Accurate monitoring and effective reduction of these …
Prediction of NOx emissions for coal-fired power plants with stacked-generalization ensemble method
Z Yuan, L Meng, X Gu, Y Bai, H Cui, C Jiang - Fuel, 2021 - Elsevier
Measuring the nitrogen oxides (NOx) concentration accurately at the inlet of the denitration
reactor plays an important role in controlling the NOx emissions for coal-fired power plants …
reactor plays an important role in controlling the NOx emissions for coal-fired power plants …
Comprehensive economic analysis and multi-objective optimization of an integrated gasification power generation cycle
Z Gao, J Miao, J Zhao, M Mesri - Process Safety and Environmental …, 2021 - Elsevier
A novel power generation plant was devised based on the biomass integrated fired
combined cycle as the central unit and supercritical CO 2 cycle, regenerative organic …
combined cycle as the central unit and supercritical CO 2 cycle, regenerative organic …
Combustion optimization of a coal-fired power plant boiler using artificial intelligence neural networks
Z Yao, C Romero, J Baltrusaitis - Fuel, 2023 - Elsevier
This study establishes detailed neural network modeling procedures for the combustion
optimization of a power generation unit, equipped with a Selective Catalytic Reduction …
optimization of a power generation unit, equipped with a Selective Catalytic Reduction …