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Mika Ruusunen
Mika Ruusunen
Control Engineering Laboratory, University of Oulu
Verified email at oulu.fi
Title
Cited by
Cited by
Year
A dynamic model for indoor temperature prediction in buildings
P Hietaharju, M Ruusunen, K Leiviskä
Energies 11 (6), 1477, 2018
572018
Data-driven framework for boiler performance monitoring
RP Nikula, M Ruusunen, K Leiviskä
Applied energy 183, 1374-1388, 2016
542016
Fuzzy modelling of carbon dioxide in a burning process
M Ruusunen, K Leiviskä
Control Engineering Practice 12 (5), 607-614, 2004
342004
A stochastic dynamic building stock model for determining long-term district heating demand under future climate change
P Hietaharju, J Pulkkinen, M Ruusunen, JN Louis
Applied Energy 295, 116962, 2021
212021
Enabling demand side management: Heat demand forecasting at city level
P Hietaharju, M Ruusunen, K Leiviskä
Materials 12 (2), 202, 2019
212019
Towards online adaptation of digital twins
RP Nikula, M Paavola, M Ruusunen, J Keski-Rahkonen
Open Engineering 10 (1), 776-783, 2020
162020
Fatigue prediction with intelligent stress indices based on torque measurements in a rolling mill
E Juuso, M Ruusunen
10th International conference on condition monitoring and machinery failure …, 2013
152013
Mathematical analysis and update of ADM1 model for biomethane production by anaerobic digestion
S Bertacchi, M Ruusunen, A Sorsa, A Sirviö, P Branduardi
Fermentation 7 (4), 237, 2021
122021
Peak load cutting in district heating network
P Hietaharju, M Ruusunen
92018
Real-time moisture content monitoring of solid biomass in grate combustion
M Ruusunen
IFAC Proceedings Volumes 41 (2), 10652-10656, 2008
92008
Some change detection and time-series forecasting algorithms for an electronics manufacturing process
M Paavola, M Ruusunen, M Pirttimaa
University of Oulu, 2005
92005
A concept for cutting peak loads in district heating
P Hietaharju, M Ruusunen
Proceedings of the Automaatio XXI, Helsinki, Finland, 17-18, 2015
82015
Signal correlations in biomass combustion - an information theoretic analysis
M Ruusunen
Doctoral Thesis, 2013
82013
An attempt to find an empirical model between Barkhausen noise and stress
A Sorsa, M Ruusunen, K Leiviskä, S Santa-Aho, M Vippola, T Lepistö
Materials science forum 768, 209-216, 2014
72014
Linguistic equation models for failure mode identification from multisensor vibration analysis
E Juuso, M Ruusunen, G Perigot
Proceedings CM, 1408-1420, 2010
72010
Comparison of three change detection algorithms for an electronics manufacturing process
M Ruusunen, M Paavola, M Pirttimaa, K Leiviska
2005 International Symposium on Computational Intelligence in Robotics and …, 2005
72005
Monitoring of small-scale biomass combustion processes. 28 p. March 2006
M Ruusunen
ISBN 951-42-8028-8 (pdf), 0
7
Estimation of wastewater flowrate in a gravitational sewer line based on a low-cost distance sensor
J Tomperi, PM Rossi, M Ruusunen
Water Practice & Technology 18 (1), 40-52, 2023
62023
Towards mineral beneficiation process chain intensification
M Ohenoja, M Ruusunen, A Koistinen, J Kaartinen, J Paaso, A Isokangas, ...
IFAC-PapersOnLine 51 (21), 201-206, 2018
62018
The effect of control parameters to the quality of small-scale wood pellet combustion
M Ruusunen, T Korpela, T Björkqvist
62009
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