Non-Linear Temporal Machine Learning Models for Conditioning Monitoring in Large-Scale Solar Energy Systems

  • Maaløe, Lars (PhD Student)
  • Winther, Ole (Main Supervisor)
  • Nielsen, Ole Niels (Supervisor)
  • Hauberg, Søren (Examiner)
  • Paquet, Ulrich (Examiner)
  • Turner, Richard (Examiner)

    Project Details

    StatusFinished
    Effective start/end date15/12/2014 → 13/06/2018

    Funding

    • Forskningsrådsfinansiering

    Fingerprint

    Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
    View full fingerprint
    • 1 Ph.D. thesis

    • Deep Generative Models for Semi-Supervised Machine Learning

      Maaløe, L., 2018, Kgs. Lyngby, Denmark: DTU Compute. 155 p. (DTU Compute PHD-2018, Vol. 472).

      Research output: Book/Report › Ph.D. thesis

      Open Access
      File
      706 Downloads (Pure)