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