Teemu Ikonen
Visitor IT rights
Visitor IT rights
T106 Chemical and Metallurgical Eng
Full researcher profile
https://research.aalto.fi/...
Sähköposti
[email protected]
Puhelinnumero
+358503455396
Tutkimusryhmät
- Process Systems Engineering, Visitor (Faculty)
Julkaisut
A Bayesian inferential sensor for predicting the reactant concentration in an exothermic chemical process
Teemu Ikonen, Samuli Bergman, Francesco Corona
2023
Chemometrics and Intelligent Laboratory Systems
End-effect mitigation in multi-period stochastic programming of energy storage operations
Teemu Ikonen, Dongho Han, Jay H. Lee, Iiro Harjunkoski
2023
33rd European Symposium on Computer Aided Process Engineering
Likelihood Maximization of Lifetime Distributions With Bathtub-Shaped Failure Rate
Teemu J. Ikonen, Francesco Corona, Iiro Harjunkoski
2023
IEEE Transactions on Reliability
Stochastic programming of energy system operations considering terminal energy storage levels
Teemu J. Ikonen, Dongho Han, Jay H. Lee, Iiro Harjunkoski
2023
Computers and Chemical Engineering
Combining Machine Learning with Mixed Integer Linear Programming in Solving Complex Scheduling Problems
Iiro Harjunkoski, Teemu Ikonen
2022
14th International Symposium on Process Systems Engineering
Design of an Event-Driven Rescheduling Algorithm via Surrogate-based Optimization
Teemu Ikonen, Keijo Heljanko, Iiro Harjunkoski
2022
14th International Symposium on Process Systems Engineering
Surrogate-based optimization of a periodic rescheduling algorithm
Teemu Ikonen, Keijo Heljanko, Iiro Harjunkoski
2022
AIChE Journal
Validation of an inverse model to determine ice load magnitude and load patch on a ship hull
Oskar Veltheim, Mikko Suominen, Teemu Ikonen, Pentti Kujala
2022
Proceedings of the 26th IAHR International Symposium on Ice
On the fitting of bathtub-shaped failure models to lifetime data for selective maintenance optimization
Teemu J. Ikonen, Iiro Harjunkoski
2021
Computer Aided Chemical Engineering
Reinforcement Learning of Optimization Strategy and Horizon Length Selection in Online Vehicle Routing
Teemu Ikonen, Keijo Heljanko, Iiro Harjunkoski
2021