| Real-time passive control of wave energy converters using the Hilbert-Huang transform PB Garcia-Rosa, G Kulia, JV Ringwood, M Molinas IFAC-PapersOnLine 50 (1), 14705-14710, 2017 | 39 | 2017 |
| Towards a Real-time Measurement Platform for Microgrids in Isolated Communities G Kulia, M Molinas, L Lundheim, BB Larsen Procedia Engineering, Elsevier 159 (1877-7058 © 2016), 94-103, 2016 | 18 | 2016 |
| Prediction of dynamic mooring responses of a floating wind turbine using an artificial neural network FA Bjørni, S Lien, TA Midtgarden, G Kulia, A Verma, Z Jiang IOP Conference Series: Materials Science and Engineering 1201 (1), 012023, 2021 | 17 | 2021 |
| Understanding instantaneous frequency detection: A discussion of Hilbert-Huang Transform versus Wavelet Transform M Bueno-López, M Molinas, G Kulia International Work-Conference on Time Series Analysis-ITISE 1, 474-486, 2017 | 17 | 2017 |
| Tool for detecting waveform distortions in inverter-based Microgrids: a validation study G Kulia, M Molinas, L Lundheim 2016 IEEE Global Humanitarian Technology Conference (GHTC 2016), 2016 | 6 | 2016 |
| Investigation of distortions in microgrids G Kulia NTNU, 2016 | 4 | 2016 |
| Simple model for understanding harmonics propagation in single-phase microgrids G Kulia, M Molinas, LM Lundheim, OB Fosso 2017 6th International Conference on Clean Electrical Power (ICCEP), 354-358, 2017 | 3 | 2017 |
| Impact of time varying angular frequency on the separation of instantaneous power components in stand-alone power systems B Hillenbrand, G Kulia, M Molinas 2017 6th International Conference on Clean Electrical Power (ICCEP), 347-353, 2017 | 3 | 2017 |
| Instantaneous Frequencies of Continuous Blood Pressure a Comparison of the Power Spectrum, the Continuous Wavelet Transform and the Hilbert–Huang Transform K Knai, G Kulia, M Molinas, NK Skjaervold Advances in Data Science and Adaptive Analysis 9 (04), 1750009, 2017 | 2 | 2017 |
| On wind Turbine failure detection from measurements of phase currents: a permutation entropy approach SK Ram, G Kulia, M Molinas arXiv preprint arXiv:1601.05387, 2016 | 2 | 2016 |
| Analysis of healthy and failed wind turbine electrical data: apermutation entropy approach SK Ram, G Kulia, M Molinas Department of Engineering Cybernetics, Internal publications, NTNU, 2016 | 2 | 2016 |
| Instantaneous Frequency in Electric Power Systems M Molinas, G Kulia, OB Fosso NTNU, 2016 | 1 | 2016 |
| On wind Turbine failure detection from measurements of phase currents: a permutation entropy approach MM Molinas Cabrera, G Kulia, S Kumar Ram Cornell University Library, arXiv. org, 2016 | | 2016 |
Marta MolinasNorwegian University of Science and Technology, Department of Engineering CyberneticsEmail verificata su ntnu.no