[HTML][HTML] Data-driven modeling of multimode chemical process: Validation with a real-world distillation column

Y Choi, B Bhadriaju, H Cho, J Lim, IS Han… - Chemical Engineering …, 2023 - Elsevier
Real-world industrial processes frequently operate in different modes such as start-up,
transient, and steady-state operation. Since different operating modes are governed by …

Multimode residual monitoring of particle concentration in flue gas from Fluid Catalytic Cracking regenerator

C Zhu, N Liu, M Zhang, Z Li, Y Li, X Shi… - Control Engineering …, 2025 - Elsevier
The reactor-regenerator system Fluid Catalytic Cracking (FCC) highly relies on stable
catalyst cycling. However, the FCC unit usually operates in multiple modes to accommodate …

Methodology for Deriving Parameters for Optimization Models of Systems of Flexible Energy Resources

LP Wagner, A Fay - IEEE Open Journal of the Industrial …, 2024 - ieeexplore.ieee.org
The increasing share of renewable energy generation poses a challenge to maintaining the
adequacy of power generation and demand. Planning the operation of flexible energy …

[HTML][HTML] Artificial intelligence-based model for physical-mechanical surface properties of nanostructured coatings

FJ Sánchez-Ruiz, M Bedolla-Hernández… - Results in …, 2023 - Elsevier
This article presents a computational numerical model for the simulation and analysis of
quantum chemistry and Gibbs free energy theory using static (ANNS), dynamic (DANN), and …

Machine Learning-Based Adaptive Regression to Identify Nonlinear Dynamics of Biochemical Systems: A Case Study on Bio 2, 3-Butanediol Distillation Process

Y Choi, B Bhadriraju, H Kwon, J Lim… - ACS Sustainable …, 2024 - ACS Publications
Develo** an accurate process model is essential to efficiently operate a process and
maximize its economics. While offline data-driven models utilizing historical data generally …

[HTML][HTML] pyAPEP: An all-in-one software package for the automated preparation of adsorption process simulations

S Ga, N An, C Joo, J Kim - Computer Physics Communications, 2023 - Elsevier
Since many future energy technologies, such as power generation with carbon-free
hydrogen, biogas, and carbon capture, require sophisticated gas separation processes …

Domain-adapted feature transfer: A generalized framework for short-term vessel speed prediction

Y Guo, Y Wang, J Zhou, J Wang - Ocean Engineering, 2023 - Elsevier
Data-driven methods have been in sight in ocean engineering for short-term vessel speed
prediction. However, due to the requirements of large amounts of training data and the …

Develo** an enhanced thermal radiation model through a Semi-A priori approach

MCV San, MZM Tohir, S Saadon - International Journal of Thermal …, 2024 - Elsevier
The accurate prediction of thermal radiation is crucial for effective fire safety assessment and
the development of proactive prevention strategies. This article presents an innovative …

Sampling approaches to reduce very frequent seasonal time series

A Baldo, PJS Ferreira, J Mendes‐Moreira - Expert Systems, 2025 - Wiley Online Library
With technological advancements, much data is being captured by sensors, smartphones,
wearable devices, and so forth. These vast datasets are stored in data centres and utilized to …

Drier Bed Adsorption Predictive Model with Enhancement of Long Short-Term Memory and Particle Swarm Optimization

MTMS MarinaYusoff, NM Tahir… - … International Journal of … - search.proquest.com
The drier bed adsorption processes remove moisture from gases and liquids by ensuring
product quality, extending equipment lifespan, and enhancing safety in various applications …