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Richard Freitag

Technical University of Munich

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ORCID ID

Supervising & Tutoring

Supervising & Tutoring


MA: Master Thesis, BA: Bachelor Thesis, DA: Diploma Thesis,

FP: Forschungspraxis, IP: Ingenieurpraxis


Teaching

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Dissertation by Richard Freitag

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2022

  • Michaels, H.; Rinderle, M.; Freitag, R.; Benesperi, I.; Gagliardi, A.: Dynamic energy management through photovoltaic-powered IoT sensors. Digitala Vetenskapliga Arkivet DIVA 2022-03, 2022 more… BibTeX

2020

  • Michaels, H.; Rinderle, M.; Freitag, R.; Benesperi, I.; Edvinsson, T.; Socher, R.; Gagliardi, A.; Freitag, M.: Dye-sensitized solar cells under Ambient Light Powering Machine Learning: Towards autonomous smart sensors for Internet of Things. Chem. Sci., Accepted Manuscript 2020-02, 2020, 1-34 more… BibTeX Full text ( DOI )