Resilience of smart integrated energy systems Babazadeh, Davood; Teimourzadeh Baboli, Payam; Mayer, Christoph; Brand, Michael; Becker, Christian; Lehnhoff, Sebastian In: Fathi, M., Zio, E., Pardalos, P.M. (eds): Handbook of Smart Energy Systems. Springer, Cham, 1887-1913 (2023)
Education and Training Needs, Methods, and Tools Kotsampopoulos, P.; Jensen, Tue V.; Babazadeh, Davood; Strasser, Thomas I.; Rikos, E.; Nguyen, V. H.; Tran, Q. T.; Bhandia, R.; Guillo-Sansano, E.; Heussen, Kai; Narayan, Anand; Nguyen, T. L.; Burt, G. M.; Hatziargyriou, N. In: Strasser T., de Jong E., Sosnina M. (eds) European Guide to Power System Testing. Springer, Cham. (2020) Verlags DOI
Experiences with System-Level Validation Approach Baboli, Payam Teimourzadeh; Babazadeh, Davood; Siagkas, D.; Manikas, S.; Anastasakis, K.; Merino, Julia In: Strasser T., de Jong E., Sosnina M. (eds) European Guide to Power System Testing. Springer, Cham. (2020) Verlags DOI
Test Procedure and Description for System Testing Heussen, Kai; Babazadeh, Davood; Degefa, Merkebu Z.; Taxt, H.; Merino, Julia; Nguyen, V. H.; Baboli, Payam Teimourzadeh; Moghim Khavari, A.; Rikos, E.; Pellegrino, L.; Tran, Q. T.; Jensen, Tue V.; Kotsampopoulos, P.; Strasser, Thomas I. In: Strasser T., de Jong E., Sosnina M. (eds) European Guide to Power System Testing. Springer, Cham. (2020) Verlags DOI
Erigrid holistic test description for validating cyber-physical energy systems Heussen, Kai; Steinbrink, Cornelius; Abdulhadi, Ibrahim F.; Van Hoa, Nguyen; Degefa, Merkebu Z.; Merino, Julia; Jensen, Tue V.; Guo, Hao; Gehrke, Oliver; Bondy, Daniel Esteban Morales; Babazadeh, Davood; Andrén, Filip Pröstl; Strasser, Thomas I. Energies 14 (12): 2722 (2019) Verlags DOI
Co-simulation set-up for testing controller interactions in distribution networks Velasquez, Jorge; Castro, Felipe; Babazadeh, Davood; Lehnhoff, Sebastian; Kumm, Thomas; Heuberger, Daniel; Treydel, Riccardo; Lüken, Tim; Garske, Steffen; Hofmann, Lutz Workshop on Modeling and Simulation of Cyber-Physical Energy Systems (MSCPES 2018)
Electromagnetic Compatibility (EMC) Engineering dealswith design, simulation, measurement, and certification of electronic andelectric components and systems in such a way that their operation is safe,reliable, and efficient in any possible application. Safety is herebyunderstood as safe with respect to parasitic effects of electromagnetic fieldson humans as well as on the operation of other components and systems nearby.Examples for components and systems range from the wiring in aircraft and shipsto high-speed interconnects in server systems and wirless interfaces for brainimplants. In this part of the course we will give an introduction to thephysical basics of EMC engineering and then show how methods of MachineLearning (ML) can be applied to expand todays physcis-based approaches in EMCEngineering.
Leistungsnachweis:
m1785-2022 - Machine Learning in Electrical Engineering and Information Technology<ul><li>p1778-2022 - Machine Learning in Electrical Engineering and Information Technology: mündlich</li></ul>
ECTS-Kreditpunkte:
1
Weitere Informationen aus Stud.IP zu dieser Veranstaltung
Heimatinstitut: Institut für Theoretische Elektrotechnik (E-18)
In Stud.IP angemeldete Teilnehmer: 2