Marios Theristis

Principal Member of the Technical Staff

Author profile picture

Principal Member of the Technical Staff

mtheris@sandia.gov

Biography

Marios Theristis leads the PV Performance Modeling and PV O&M Analytics programs at Sandia National Laboratories. His work focuses on PV performance modeling and applying data analytics to improve reliability, assess degradation and optimize O&M. He actively engages stakeholders through the PV Performance and Modeling Collaborative and the PV O&M Analytics Collaborative, leading the independent validation of models and tools, and working to establish best practices that minimize uncertainty and improve transparency across the industry.

Prior to joining Sandia National Laboratories in 2019, he was at the University of Cyprus, Cyprus (2016-2019), the University of Jaén, Spain (2016), Fraunhofer CSE, USA (2015), and NCSR “Demokritos,” Greece (2010-2011). Marios received his Dipl.-Ing. in Electrical and Computer Engineering from Democritus University of Thrace, Greece (2011), and his PhD from Heriot-Watt University, UK (2016).

See Dr. Theristis’ Google Scholar profile.

Publications

  • Micheli, L., Theristis, M., Talavera, D., Nofuentes, G., Stein, J., Fernandez, E., & Fernandez, E. (2022). The economic value of photovoltaic performance loss mitigation in electricity spot markets. Renewable Energy, 199, pp. 486-497. https://doi.org/10.1016/j.renene.2022.08.149 Publication ID: 80146
  • Livera, A., Theristis, M., Micheli, L., Stein, J., Georghiou, G.E., & Georghiou, G.E. (2022). Failure diagnosis and trend-based performance losses routines for the detection and classification of incidents in large-scale photovoltaic systems. Progress in Photovoltaics: Research and Applications, 30(8), pp. 921-937. https://doi.org/10.1002/pip.3578 Publication ID: 80745
  • Driesse, A., Stein, J., Theristis, M., & Theristis, M. (2022). Improving Common PV Module Temperature Models by Incorporating Radiative Losses to the Sky. https://doi.org/10.2172/1884890 Publication ID: 80117
  • Kinsey, G., Rieder-Lyngskaer, N., Alonso-Abella, M., Boyd, M., Braga, M., Chunhui, S., Cordero, &., Duck, B., Fellh, C., Ferong, S., Georghio, G., Habryl, N., John, J., Ketjoy, &., López, G., Louwen, A., Maweza, L., Mittal, A., Molto, C., … Yamaso, M. (2022). Impact of measured spectrum variation on solar photovoltaic efficiencies worldwide. Renewable Energy, 196, pp. 995-1016. https://doi.org/10.1016/j.renene.2022.07.011 Publication ID: 80020
  • Lindig, S., Theristis, M., Moser, D., & Moser, D. (2022). Best practices for photovoltaic performance loss rate calculations. Progress in Energy, 4(2). https://doi.org/10.1088/2516-1083/ac655f Publication ID: 80621
  • Silva, B., Lunis, P., Theristis, M., Seigneur, H., & Seigneur, H. (2022). PyPVRPM: Photovoltaic Reliability and Performance Model in Python. Journal of Open Source Software, 7(71). https://doi.org/10.21105/joss.04093 Publication ID: 80578
  • Livera, A., Paphitis, G., Theristis, M., Lopez-Lorente, J., Makrides, G., E. Georghiou, G., & E. Georghiou, G. (2022). Photovoltaic System Health-State Architecture for Data-Driven Failure Detection. Solar, 2(1), pp. 81-98. https://doi.org/10.3390/solar2010006 Publication ID: 80579
  • Livera, A., Theristis, M., Micheli, L., Fernandez, E.F., Stein, J., Georghiou, G.E., & Georghiou, G.E. (2022). Operation and Maintenance Decision Support System for Photovoltaic Systems. IEEE Access, 10, pp. 42481-42496. https://doi.org/10.1109/ACCESS.2022.3168140 Publication ID: 80627
  • Jones, C., Theristis, M., Darbali-Zamora, R., Ropp, M., Reno, M., & Reno, M. (2022). Switch Location Identification for Integrating a Distant Photovoltaic Array Into a Microgrid. IEEE Access, 10, pp. 57902-57913. https://doi.org/10.1109/ACCESS.2022.3177143 Publication ID: 80109
  • Romero-Fiances, I., Livera, A., Theristis, M., Makrides, G., Stein, J., Nofuentes, G., de la Casa, J., Georghiou, G.E., & Georghiou, G.E. (2022). Impact of duration and missing data on the long-term photovoltaic degradation rate estimation. Renewable Energy, 181, pp. 738-748. https://doi.org/10.1016/j.renene.2021.09.078 Publication ID: 75961
  • Theristis, M., Livera, A., Micheli, L., Ascencio-Vasquez, J., Makrides, G., Georghiou, G.E., Stein, J., & Stein, J. (2021). Comparative Analysis of Change-Point Techniques for Nonlinear Photovoltaic Performance Degradation Rate Estimations. IEEE Journal of Photovoltaics, 11(6), pp. 1511-1518. https://doi.org/10.1109/JPHOTOV.2021.3112037 Publication ID: 75576
  • Livera, A., Theristis, M., Stein, J., Georghiou, G., & Georghiou, G. (2021). Failure diagnosis and trend-based performance losses routines for the detection and classification of incidents in large-scale photovoltaic systems [Conference Paper]. https://doi.org/10.1002/pip.3578 Publication ID: 75474
  • Theocharides, S., Makrides, G., Theristis, M., Georghiou, G., & Georghiou, G. (2021). Novel intraday photovoltaic production forecasting algorithm using deep learning ensemble models [Conference Paper]. https://www.osti.gov/biblio/1886762 Publication ID: 75577
  • Livera, A., Theristis, M., Charalambous, A., Stein, J., Georghiou, G.E., & Georghiou, G.E. (2021). Decision support system for corrective maintenance in large-scale photovoltaic systems [Conference Paper]. Conference Record of the IEEE Photovoltaic Specialists Conference. https://doi.org/10.1109/PVSC43889.2021.9518796 Publication ID: 78803
  • Driesse, A., Theristis, M., Stein, J., & Stein, J. (2021). A New Photovoltaic Module Efficiency Model for Energy Prediction and Rating. IEEE Journal of Photovoltaics, 11(2), pp. 527-534. https://doi.org/10.1109/JPHOTOV.2020.3045677 Publication ID: 72335
  • Theocharides, S., Theristis, M., Makrides, G., Kynigos, M., Spanias, C., Georghiou, G.E., & Georghiou, G.E. (2021). Comparative analysis of machine learning models for day-ahead photovoltaic power production forecasting†. Energies, 14(4). https://doi.org/10.3390/en14041081 Publication ID: 77265
  • Livera, A., Theristis, M., Koumpli, E., Theocharides, S., Makrides, G., Sutterlueti, J., Stein, J., Georghiou, G.E., & Georghiou, G.E. (2021). Data processing and quality verification for improved photovoltaic performance and reliability analytics. Progress in Photovoltaics: Research and Applications, 29(2), pp. 143-158. https://doi.org/10.1002/pip.3349 Publication ID: 71217
  • Theristis, M., Ascencio-Vásquez, J., Stein, J., & Stein, J. (2021). Geographic and technology factors in photovoltaicperformance degradation rate estimations [Conference Presenation]. https://doi.org/10.2172/1844313 Publication ID: 75512
  • Theristis, M., Ascencio-Vásquez, J., King, B., Topic, M., Stein, J., & Stein, J. (2020). CHALLENGES ASSOCIATED WITH INCONSISTENT PHOTOVOLTAIC DEGRADATION RATE ESTIMATIONS [Conference Poster]. https://www.osti.gov/biblio/1820292 Publication ID: 74815
  • Livera, A., Theristis, M., Koumpli, E., Makrides, G., Stein, J., Georghiou, G., & Georghiou, G. (2020). GUIDELINES FOR ENSURING DATA QUALITY FOR PHOTOVOLTAIC SYSTEM PERFORMANCE ASSESSMENT AND MONITORING [Conference Poster]. https://www.osti.gov/biblio/1820257 Publication ID: 74772
  • Livera, A., Theristis, M., Koumpli, E., Makrides, G., Stein, J., Georghiou, G., & Georghiou, G. (2020). GUIDELINES FOR ENSURING DATA QUALITY FOR PHOTOVOLTAIC SYSTEM PERFORMANCE ASSESSMENT AND MONITORING [Conference Poster]. https://www.osti.gov/biblio/1820258 Publication ID: 74773
  • Theocharides, S., Makrides, G., Theristis, M., Kynigos, M., Georghiou, G., & Georghiou, G. (2020). Hybrid Modelling of PV Power Generation for Enhanced Forecasting [Conference Poster]. https://www.osti.gov/biblio/1820277 Publication ID: 74797
  • Theocharides, S., Makrides, G., Theristis, M., Kynigos, M., Georghiou, G., & Georghiou, G. (2020). Hybrid Modelling of PV Power Generation for Enhanced Forecasting [Conference Poster]. https://www.osti.gov/biblio/1820293 Publication ID: 74816
  • Theristis, M., Ascencio-Vásquez, J., King, B., Topic, M., Stein, J., & Stein, J. (2020). CHALLENGES ASSOCIATED WITH INCONSISTENT PHOTOVOLTAIC DEGRADATION RATE ESTIMATIONS [Conference Poster]. https://www.osti.gov/biblio/1820291 Publication ID: 74814
  • Theristis, M., Livera, A., Jones, C.B., Makrides, G., Georghiou, G.E., Stein, J., & Stein, J. (2020). Nonlinear Photovoltaic Degradation Rates: Modeling and Comparison against Conventional Methods. IEEE Journal of Photovoltaics, 10(4), pp. 1112-1118. https://doi.org/10.1109/JPHOTOV.2020.2992432 Publication ID: 73251
  • Theocharides, S., Makrides, G., Livera, A., Theristis, M., Kaimakis, P., Georghiou, G.E., & Georghiou, G.E. (2020). Day-ahead photovoltaic power production forecasting methodology based on machine learning and statistical post-processing. Applied Energy, 268. https://doi.org/10.1016/j.apenergy.2020.115023 Publication ID: 73307
  • Theristis, M. (2020). Modeling nonlinear photovoltaic degradation rates [Conference Poster]. https://www.osti.gov/biblio/1807378 Publication ID: 73725
  • Jones, C., Theristis, M., Stein, J., Hansen, C., & Hansen, C. (2020). Feature Selection of Photovoltaic System Data to Avoid Misclassification of Fault Conditions [Conference Poster]. https://www.osti.gov/biblio/1807374 Publication ID: 73721
  • Jones, C., Theristis, M., Stein, J., Hansen, C., & Hansen, C. (2020). Feature Selection of Photovoltaic System Data to Avoid Misclassification of Fault Conditions [Conference Poster]. https://www.osti.gov/biblio/1807373 Publication ID: 73720
  • Theristis, M., Livera, A., Micheli, L., Jones, C., Makrides, G., Georghiou, G., Stein, J., & Stein, J. (2020). Modeling nonlinear photovoltaic degradation rates [Conference Poster]. https://www.osti.gov/biblio/1807361 Publication ID: 73706
  • Micheli, L., Theristis, M., Talavera, D.L., Almonacid, F., Stein, J., Fernández, E.F., & Fernández, E.F. (2020). Photovoltaic cleaning frequency optimization under different degradation rate patterns. Renewable Energy, 166, pp. 136-146. https://doi.org/10.1016/j.renene.2020.11.044 Publication ID: 71779
  • Livera, A., Theristis, M., Koumpli, E., Makrides, G., Stein, J., Georghiou, G., & Georghiou, G. (2020). Guidelines for ensuring data quality for photovoltaic system performance assessment and monitoring [Conference Poster]. https://www.osti.gov/biblio/1767089 Publication ID: 72689
Showing 10 of 32 publications.