Lars Struen Imsland

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 12

Top Topics

Industrial Processes

Bayesian Learning

Top Venues

Appl. Soft Comput.

Comput. Chem. Eng.

Eng. Appl. Artif. Intell.

Publications

Kiet Tuan Hoang, Brage Rugstad Knudsen, Lars Struen Imsland
Complementarity-constrained predictive control for efficient gas-balanced hybrid power systems. CoRR (2024)
Bjarne A. Grimstad, Kristian Løvland, Lars Struen Imsland, Vidar Gunnerud
A deep latent variable model for semi-supervised multi-unit soft sensing in industrial processes. CoRR (2024)
Jonas Ekeland Kittelsen, Eric Aislan Antonelo, Eduardo Camponogara, Lars Struen Imsland
Physics-Informed Neural Networks with Skip Connections for Modeling and Control of Gas-Lifted Oil Wells. CoRR (2024)
Jonas Ekeland Kittelsen, Eric Aislan Antonelo, Eduardo Camponogara, Lars Struen Imsland
Physics-Informed Neural Networks with skip connections for modeling and control of gas-lifted oil wells. Appl. Soft Comput. 158 (2024)
Luis Fernando Nazari, Eduardo Camponogara, Lars Struen Imsland, Laio Oriel Seman
Neural networks informed by physics for modeling mass flow rate in a production wellbore. Eng. Appl. Artif. Intell. 128 (2024)
Bjarne A. Grimstad, Kristian Løvland, Lars Struen Imsland
Multi-unit soft sensing permits few-shot learning. CoRR (2023)
Cuthbert Shang Wui Ng, Menad Nait Amar, Ashkan Jahanbani Ghahfarokhi, Lars Struen Imsland
A Survey on the Application of Machine Learning and Metaheuristic Algorithms for Intelligent Proxy Modeling in Reservoir Simulation. Comput. Chem. Eng. 170 (2023)
Otávio Fonseca Ivo, Lars Struen Imsland
Framework for produced water discharge management with flow-weighted mean concentration based economic model predictive control. Comput. Chem. Eng. 157 (2022)
Kristian Løvland, Bjarne A. Grimstad, Lars Struen Imsland
Adjustment formulas for learning causal steady-state models from closed-loop operational data. CoRR (2022)
Mathilde Hotvedt, Bjarne A. Grimstad, Lars Struen Imsland
Passive learning to address nonstationarity in virtual flow metering applications. Expert Syst. Appl. 210 (2022)
Bjarne Grimstad, Mathilde Hotvedt, Anders T. Sandnes, Odd Kolbjørnsen, Lars Struen Imsland
Bayesian neural networks for virtual flow metering: An empirical study. Appl. Soft Comput. 112 (2021)
Bjarne Grimstad, Mathilde Hotvedt, Anders T. Sandnes, Odd Kolbjørnsen, Lars Struen Imsland
Bayesian Neural Networks for Virtual Flow Metering: An Empirical Study. CoRR (2021)
Ralf Hannemann-Tamás, Lars Struen Imsland
Full algorithmic differentiation of a Rosenbrock-type method for direct single shooting. ECC (2014)