A machine learning-based methodology for multi-parametric solution of chemical processes operation optimization under uncertainty
Sign Up to like & getrecommendations! Published in 2021 at "Chemical Engineering Journal"
DOI: 10.1016/j.cej.2021.131632
Abstract: Abstract Chemical process operation optimization aims at obtaining the optimal operating set-points by real-time solution of an optimization problem that embeds a steady-state model of the process. This task is challenged by unavoidable Uncertain Parameters… read more here.
Keywords: methodology; operation optimization; process; solution ... See more keywords
Operation optimization research of circulating cooling water system based on superstructure and domain knowledge
Sign Up to like & getrecommendations! Published in 2019 at "Chemical Engineering Research and Design"
DOI: 10.1016/j.cherd.2018.12.012
Abstract: Abstract Circulating cooling water system (CCWS) is an important auxiliary system in the industrial production process, and it is also one of the main energy-consuming units in the whole process. This paper presents a comprehensive… read more here.
Keywords: operation optimization; system; water; knowledge ... See more keywords
Planning-Operation Co-Optimization Model of Active Distribution Network With Energy Storage Considering the Lifetime of Batteries
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2875173
Abstract: In this paper, a multi-stage planning-operation co-optimization model of an active distribution network (ADN) integrated with energy storage systems (ESSs) is proposed, in which the lifetime of batteries is also considered. By adopting piecewise linearized… read more here.
Keywords: model active; planning operation; optimization model; operation optimization ... See more keywords
Multiobjective Operation Optimization of Wastewater Treatment Process Based on Reinforcement Self-Learning and Knowledge Guidance.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2022.3164476
Abstract: This article proposes a multiobjective operation optimization method based on reinforcement self-learning and knowledge guidance for quality assurance and consumption reduction of wastewater treatment process (WWTP) with nonstationary time-varying dynamics. First, operation optimization models are… read more here.
Keywords: self learning; operation optimization; reinforcement self; optimization ... See more keywords
A Novel Dynamic Operation Optimization Method Based on Multiobjective Deep Reinforcement Learning for Steelmaking Process.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2023.3244945
Abstract: This article studies a dynamic operation optimization problem for a steelmaking process. The problem is defined to determine optimal operation parameters that bring smelting process indices close to their desired values. The operation optimization technologies… read more here.
Keywords: dynamic operation; operation; steelmaking process; operation optimization ... See more keywords
Operation Optimization of Natural Gas Transmission Pipelines Based on Stochastic Optimization Algorithms: A Review
Sign Up to like & getrecommendations! Published in 2018 at "Mathematical Problems in Engineering"
DOI: 10.1155/2018/1267045
Abstract: Operation optimization of natural gas pipelines has received increasing attentions, due to such advantages as maximizing the operating economic benefit and the gas delivery amount. This paper provides a review on the most relevant research… read more here.
Keywords: optimization algorithms; operation optimization; optimization; natural gas ... See more keywords
Extension of the Constrained Gravitational Search Algorithm for Solving Multi-Reservoir Operation Optimization Problem
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Environmental Informatics"
DOI: 10.3808/jei.202000434
Abstract: In this paper the proposed constrained gravitational search algorithm (CGSA) is extended and used to solve multi-reservoir operation optimization problem. Tow constrained versions of GSA named partially constrained GSA (PCGSA) and fully constrained GSA (FCGSA)… read more here.
Keywords: reservoir operation; operation optimization; optimization; optimization problem ... See more keywords