Contacts
Dr Stefan Lotz
Unit: Science Research and Applications Position: Research Scientist Qualifications: PhDStefan completed his undergraduate studies at the University of Stellenbosch with a BSc in Physical and Mathematical Analysis - a multi-disciplinary programme focussed on dynamic systems.
He graduated with a PhD from Rhodes University where his research thesis focussed on modelling Pc3 pulsation intensity with artificial neural networks using solar wind parameters as input.
Recent research is focussed on geomagnetically induced currents, VLF wave phenomena and geomagnetic storm prediction using novel machine learning techniques.
Research Interests
Modelling and prediction of geomagnetically induced currents
Space weather modelling
Deep learning
Selected Publications (full list see ORCID page)
| Citation | Type |
|---|---|
| Geomagnetic Pulsations Driving Geomagnetically Induced Currents, MJ Heyns, SI Lotz, CT Gaunt, Space Weather (under review, 2020). | Preprint |
| Data driven transfer functions and transmission network parameters for GIC modelling,, M. Heyns, S. Lotz and C. Gaunt, Electric Power Systems Research, Volume 188, 2020. DOI: 10.1016/j.epsr.2020.106546. | Conference proceedings |
| Probabilistic Analysis of Power Network Susceptibility to GICs, M. Heyns, S. Lotz and C. Gaunt, 2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), Liege, Belgium, 2020, pp. 1-6. DOI: 10.1109/PMAPS47429.2020.9183597. | Conference proceedings |
| Input parameter ranking for neural networks in a space weather regression problem, S Lotz, JP Beukes, MH Davel, Proceedings of the South African Forum for Artificial Intelligence Research, Cape Town, South Africa, 4-6 December, 2019. | Conference proceedings |
| Solar flare prediction with temporal convolutional networks, Krynauw, D., MH Davel, S Lotz, Proceedings of the South African Forum for Artificial Intelligence Research, Cape Town, South Africa, 4-6 December, 2019. | Conference proceedings |
| Demonstrating the use of a class of min-max smoothers for D region event detection in narrow band VLF phase, S. I. Lotz and M. A. Clilverd, Radio Science (2019). DOI: 10.1029/2018RS006701. | Journal publication |
| Extreme value analysis of induced geoelectric field in South Africa.,S. I. Lotz and D. W. Danskin, Space Weather 15 (2017). DOI: 10.1002/2017SW001662. | Journal publication |
| Regression-based forecast model of induced geo-electric field, Lotz, S. I. and Heyns, M. J. and Cilliers, P. J., Space Weather 15 (2016). DOI: 10.1002/2016SW001518 | Journal publication |
The Space Science Directorate of SANSA is host to the only Space Weather Centre in Africa providing early warnings and forecasts on space weather activity, playing an important role in protecting satellite technology, communication and navigation systems.
Latest Projects
- Space weather impact on mesospheric ozone Space Weather
- Sprites using Night Vision Optics Upper Atmosphere
- Contribution of Low Latitude Electrodynamics to Gravity Waves Space Weather
SANSA Links
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