Sign Up to like & get
recommendations!
0
Published in 2020 at "Industrial & Engineering Chemistry Research"
DOI: 10.1021/acs.iecr.0c00729
Abstract: This work proposes a methodology for multivariate dynamic modeling and multistep-ahead prediction of nonlinear systems using surrogate models for the application to nonlinear chemical processes. Th...
read more here.
Keywords:
nonlinear chemical;
ahead prediction;
modeling multistep;
multistep ahead ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2024 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2023.3336789
Abstract: The multistep ahead prediction of crucial quality indicators is the cornerstone for optimizing and controlling industrial processes. The accurate multistep ahead prediction over long prediction horizons holds great potential for improving production performance in industrial…
read more here.
Keywords:
industrial processes;
prediction;
ahead prediction;
multistep ahead ... See more keywords
Sign Up to like & get
recommendations!
2
Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/1575303
Abstract: In this paper, a novel multistep ahead predictor based upon a fusion of kernel recursive least square (KRLS) and Gaussian process regression (GPR) is proposed for the accurate prediction of the state of health (SoH)…
read more here.
Keywords:
health;
multistep ahead;
ahead prediction;
prediction state ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2024 at "SPE Journal"
DOI: 10.2118/221495-pa
Abstract: High-temperature and high-pressure reservoirs in complex geological conditions present primary targets and significant challenges in deepsea oil and gas exploration. Limited offshore drilling operations and lack of detailed geological data hinder accurate formation pressure prediction…
read more here.
Keywords:
resistivity;
seq2seq;
logging drilling;
prediction ... See more keywords