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Prediction of wind power production using satellite images

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Satprod

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Machine learning pipeline for forecasting of wind park power production using satellite images. The project is a master thesis at the Technical University of Denmark, whereas the task is given by and performed for TrønderEnergi AS.

Project period: 25.01.21 - 25.07.21.

Supervisors (DTU):

  • Anders Nymark Christensen
  • Tommy Sonne Alstrøm

External supervisors (TrønderEnergi AS):

  • Håkon Thorstensen

Repository structure

Data requirements for running scripts

Environment

  1. Create: conda env create -f environment.yaml
  2. Activate: conda activate satprod
  3. Update: conda env create -f environment.yaml --force

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Prediction of wind power production using satellite images

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