Deep reinforcement learning in smart manufacturing: A review and prospects
To facilitate the personalized smart manufacturing paradigm with cognitive automation
capabilities, Deep Reinforcement Learning (DRL) has attracted ever-increasing attention by …
capabilities, Deep Reinforcement Learning (DRL) has attracted ever-increasing attention by …
A systematic literature review on machine learning applications at coal-fired thermal power plants for improved energy efficiency
C Bisset, PVZ Venter, R Coetzer - International Journal of …, 2023 - Taylor & Francis
Power generation comprises high environmental and ecological impacts. The global power
industry is under pressure to develop more efficient ways to operate and reduce the impacts …
industry is under pressure to develop more efficient ways to operate and reduce the impacts …
A survey and comparative evaluation of actor‐critic methods in process control
D Dutta, SR Upreti - The Canadian Journal of Chemical …, 2022 - Wiley Online Library
Actor‐critic (AC) methods have emerged as an important class of reinforcement learning
(RL) paradigm that enables model‐free control by acting on a process and learning from the …
(RL) paradigm that enables model‐free control by acting on a process and learning from the …
Artificial intelligence and mathematical models of power grids driven by renewable energy sources: A survey
To face the impact of climate change in all dimensions of our society in the near future, the
European Union (EU) has established an ambitious target. Until 2050, the share of …
European Union (EU) has established an ambitious target. Until 2050, the share of …
Artificial intelligence-implemented prediction and cost-effective optimization of micropollutant photodegradation using g-C3N4/Bi2O3 heterojunction
Y ** systems in wastewater treatment plants
G Seo, S Yoon, M Kim, C Mun, E Hwang - IEEE Access, 2021 - ieeexplore.ieee.org
In this paper, we propose a deep reinforcement learning (DRL) based predictive control
scheme for reducing the energy consumption and energy cost of pum** systems in …
scheme for reducing the energy consumption and energy cost of pum** systems in …
ECoalVis: visual analysis of control strategies in coal-fired power plants
Improving the efficiency of coal-fired power plants has numerous benefits. The control
strategy is one of the major factors affecting such efficiency. However, due to the complex …
strategy is one of the major factors affecting such efficiency. However, due to the complex …
Optimizing control of waste incineration plants using reinforcement learning and digital twins
M Schlappa, J Hegemann… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
More than 60 waste incineration plants (WIPs) are active across Germany. WIPs have
various levels of automation, but they still rely on manual operations by human operators …
various levels of automation, but they still rely on manual operations by human operators …
Modeling and optimization of NO emission for a steam power plant by data‐driven methods
The evolution of the power industry toward large‐scale automation and self‐monitoring
provides the opportunity to optimize the technical and environmental performance of the …
provides the opportunity to optimize the technical and environmental performance of the …
Synergistic multifactor influence and management of commercial vanadium-based catalyst lifetimes
Y Xu, X Liu, R Guo, T Wu, H Ding, D Ye, W Pan - Fuel, 2024 - Elsevier
NO x does great harm to the environment and human beings. The selective catalytic
reduction (SCR) of NO x with NH 3 is proven to be a mature technology to eliminate NO x …
reduction (SCR) of NO x with NH 3 is proven to be a mature technology to eliminate NO x …