| Characterisation tools development for PEM electrolysers J Van der Merwe, K Uren, G Van Schoor, D Bessarabov International Journal of Hydrogen Energy 39 (26), 14212-14221, 2014 | 90 | 2014 |
| Characterisation of a PEM electrolyser using the current interrupt method CA Martinson, G Van Schoor, KR Uren, D Bessarabov International journal of hydrogen energy 39 (36), 20865-20878, 2014 | 45 | 2014 |
| Power management and sizing optimisation of renewable energy hydrogen production systems G Human, G Van Schoor, KR Uren Sustainable Energy Technologies and Assessments 31, 155-166, 2019 | 29 | 2019 |
| The merits of exergy-based fault detection in petrochemical processes H Marais, G Van Schoor, KR Uren Journal of Process Control, 2019 | 29 | 2019 |
| A study of the loss characteristics of a single cell PEM electrolyser for pure hydrogen production J Van der Merwe, K Uren, G van Schoor, D Bessarabov 2013 IEEE International Conference on Industrial Technology (ICIT), 668-672, 2013 | 28 | 2013 |
| Predictive PID control of non-minimum phase systems K Uren, G van Schoor INTECH Open Access Publisher, 2011 | 25 | 2011 |
| Modelling the pulsatile flow rate and pressure response of a roller-type peristaltic pump MP McIntyre, G van Schoor, KR Uren, CP Kloppers Sensors and Actuators A: Physical 325, 112708, 2021 | 22 | 2021 |
| Equivalent electrical circuit modelling of a Proton Exchange Membrane electrolyser based on current interruption C Martinson, G Van Schoor, K Uren, D Bessarabov 2013 IEEE international conference on industrial technology (ICIT), 716-721, 2013 | 20 | 2013 |
| An energy perspective on modelling, supervision, and control of large-scale industrial systems: Survey and framework G Van Schoor, KR Uren, MA van Wyk, PA van Vuuren, CP du Rand IFAC Proceedings Volumes 47 (3), 6692-6703, 2014 | 16 | 2014 |
| Application of exergy-based fault detection in a gas-to-liquids process plant S Greyling, H Marais, G Van Schoor, KR Uren Entropy 21 (6), 565, 2019 | 15 | 2019 |
| Hydrocyclone cut-size estimation using artificial neural networks S Van Loggenberg, G Van Schoor, KR Uren, AF Van Der Merwe IFAC-PapersOnLine 49 (7), 996-1001, 2016 | 15 | 2016 |
| Adaptive Neural network control of a helicopter system with optimal observer and actor-critic design LS Hager, KR Uren, G van Schoor, AJ van Rensburg Neurocomputing 302, 75-90, 2018 | 14 | 2018 |
| Energy-based fault detection for an autothermal reformer HJ Marais, G Van Schoor, KR Uren IFAC-PapersOnLine 49 (7), 353-358, 2016 | 14 | 2016 |
| An integrated approach to sensor FDI and signal reconstruction in HTGRs–Part II: Case studies KR Uren, G Van Schoor, CP Du Rand, A Botha Annals of Nuclear Energy 87, 739-749, 2016 | 13 | 2016 |
| An integrated approach to sensor FDI and signal reconstruction in HTGRs–Part I: Theoretical framework KR Uren, G Van Schoor, CP Du Rand, A Botha Annals of Nuclear Energy 87, 750-760, 2016 | 13 | 2016 |
| An Energy-based approach to condition monitoring of industrial processes HJ Marais, G Van Schoor, KR Uren IFAC-PapersOnLine 48 (21), 772-777, 2015 | 12 | 2015 |
| State estimation for a hexapod robot E Lubbe, D Withey, KR Uren 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015 | 11 | 2015 |
| Genetic fuzzy rule extraction for optimised sizing and control of hybrid renewable energy hydrogen systems G Human, G Van Schoor, KR Uren International Journal of Hydrogen Energy 46 (5), 3576-3594, 2021 | 10 | 2021 |
| Exergy-based fault detection on the Tennessee Eastman process J Vosloo, KR Uren, G Van Schoor, L Auret, H Marais IFAC-PapersOnLine 53 (2), 13713-13720, 2020 | 10 | 2020 |
| A vision of energy-based visualisation of large scale industrial systems for the purposes of condition monitoring G Van Schoor, KR Uren NWU, 2018 | 10 | 2018 |
George van SchoorNorth West University, Potchefstroom, South AfricaVerified email at nwu.ac.za
