Impact of multiple flexible loads on grid stability for Fast Frequency Reserve | 2024 Tyyppi A4 Conference proceedings Tekijä(t) Tupitsina Anna, Rehtla Marek, Nevaranta Niko, Ahola Jero, Lindh Tuomo Energiasiirtymä LUT School of Energy Systems
Neural Network-Based Surrogates for Alkaline Electrolyser System Modeling in Smart Grid Model | 2024 Tyyppi A4 Conference proceedings Tekijä(t) Rehtla Marek, Tupitsina Anna, Lindh Tuomo, Montonen Jan-Henri, Nevaranta Niko Energiasiirtymä LUT School of Energy Systems
Neural Networks for Data-driven Modeling of Active Magnetic Bearing Suspended Rotor System | 2024 Tyyppi A4 Conference proceedings Tekijä(t) Nevaranta Niko, Shishkov Aleksandr, Abubakar Ibrahim, Putkonen Atte, Rehtla Marek, Ranjan Gyan, Lindh Tuomo Energiasiirtymä LUT School of Energy Systems
Optimizing PID Controller Design for Rotor Systems Suspended by Active Magnetic Bearings | 2024 Tyyppi A1 Journal article (refereed), original research Tekijä(t) Abubakar Ibrahim, Putkonen Atte, Rehtla Marek, Lindh Tuomo, Derammelaere Stijn, Nevaranta Niko Energiasiirtymä LUT School of Energy Systems
Replicating Existing Axial Magnetic Bearing Controller With a Neural Network | 2024 Tyyppi A4 Conference proceedings Tekijä(t) Rehtla Marek, Abubakar Ibrahim, Putkonen Atte, Shishkov Aleksandr, Nevaranta Niko, Lindh Tuomo Energiasiirtymä LUT School of Energy Systems