| SOFC modeling J Milewski, K Świrski, M Santarelli, P Leone, J Milewski Advanced Methods of Solid Oxide Fuel Cell Modeling, 91-200, 2011 | 158 | 2011 |
| Modelling the SOFC behaviours by artificial neural network J Milewski, K Świrski International journal of hydrogen energy 34 (13), 5546-5553, 2009 | 117 | 2009 |
| Use of statistical analysis in power plant performance monitoring X Cheng, FC Huff, PN Francino, K Swirski US Patent 8,200,369, 2012 | 58 | 2012 |
| Heat demand forecasting algorithm for a Warsaw district heating network T Kurek, A Bielecki, K Świrski, K Wojdan, M Guzek, J Białek, R Brzozowski, ... Energy 217, 119347, 2021 | 33 | 2021 |
| Optimization of combustion process in coal-fired power plant with utilization of acoustic system for in-furnace temperature measurement Ł Śladewski, K Wojdan, K Świrski, T Janda, D Nabagło, J Chachuła Applied Thermal Engineering 123, 711-720, 2017 | 29 | 2017 |
| Investigation of the recriticality potential during reflooding phase of Fukushima Daiichi Unit-3 accident P Darnowski, K Potapczyk, K Świrski Annals of Nuclear Energy 99, 495-509, 2017 | 16 | 2017 |
| Pulverised coal fired boiler optimization and NOx control using neural networks and fuzzy logic J Arabas, L Białobrzeski, T Chomiak, PD Domański, K Świrski, ... | 16 | 1997 |
| Total loss of AC power analysis for EPR reactor P Darnowski, E Skrzypek, P Mazgaj, K Świrski, P Gandrille Nuclear Engineering and Design 289, 8-18, 2015 | 15 | 2015 |
| Artificial neural network-based model for calculating the flow composition influence of solid oxide fuel cell J Milewski, K Świrski Journal of fuel cell science and technology 11 (2), 2014 | 14 | 2014 |
| Immune inspired optimizer of combustion process in power boiler K Świrski, K Wojdan New Trends in Applied Artificial Intelligence: 20th International Conference …, 2007 | 12 | 2007 |
| Power plant performance monitoring using statistical methodology approach K Swirski Journal of Power Technologies 91 (2), 63, 2011 | 11 | 2011 |
| Method for simulation and optimization of underground gas storage performance K Wojdan, B Ruszczycki, D Michalk, K Swirski Oil & Gas Science and Technology–Revue d’IFP Energies nouvelles 69 (7), 1237 …, 2014 | 10 | 2014 |
| Process control and optimization technique using immunological concepts JJ Grott, JJ Williams, K Świrski, T Chomiak, K Wojdan US Patent 7,856,280, 2010 | 10 | 2010 |
| Advanced algorithms for operational optimization and predictive maintenance of large district heating systems M Guzek, J Białek, B Królikowski, A Bielecki, K Świrski, K Wojdan 2019 IEEE 6th International Conference on Energy Smart Systems (ESS), 165-170, 2019 | 9 | 2019 |
| A practical approach to combustion process optimization using an improved immune optimizer K Wojdan, K Swirski, M Warchol, J Milewski, A Miller COETEC, JKUAT, 2017 | 8 | 2017 |
| Optimization of Coal Mill Using an MPC Type Controller R Jankowski, PD Doman´ ski, K S´ wirski ASME International Mechanical Engineering Congress and Exposition 37130, 233-243, 2003 | 8 | 2003 |
| Artificial neural network as SOFC model J Milewski, K Świrski Rynek Energii, 134-140, 2011 | 7 | 2011 |
| Nowoczesne systemy informatyczne dla optymalizacji pracy zasobnika ciepła B Deszczyński, K Świrski, K Badyda Rynek Energii, 89-96, 2010 | 7 | 2010 |
| Hybrid-artificial neural network as solid oxide fuel cell model J Milewski, K Swirski | 6 | 2009 |
| Advanced boiler control J Arabas, L Białobrzeski, P Domański, K Świrski | 6 | 1998 |
