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Master thesis: Machine Learning for Power Market Analysis at the Center for Energy Markets

29.07.2022, Diplomarbeiten, Bachelor- und Masterarbeiten

Decarbonizing the power sector is crucial in meeting the net-zero carbon emission targets. Increased shares of renewables in the power system continue to change the dynamics of the energy markets and add further complexity to the system. With the help of Machine Learning techniques, energy economists are able to uncover and better understand the power market behavior.

At the TUM Center for Energy Markets, we offer a unique and comprehensive dataset related to the European power market and look for candidates interested in multi-disciplinary, applied ML work. Specific details of the project will be shared with interested applicants.

Pre-requisites:

  • Solid knowledge of machine learning and deep learning techniques
  • Experience with regression models

Interested applicants are encouraged to send their CV and Transcript of Grades to shiva.madadkhani@tum.de

Kontakt: shiva.madadkhani@tum.de