/MAST30034-Project-2

This project aims to develop algorithms to optimise the dispatch behaviour of a battery based in Victoria. Maximise revenues by charging when electricity prices are low and discharge when prices are high.

Primary LanguageJupyter NotebookGNU General Public License v3.0GPL-3.0

The University of Melbourne - MAST30034 (Data Science Project)

Energy Market and Battery Optimization

Group Name:

  • Group 40

Group Members:

  • Kaixin Yu (1118795)
  • Lissy Xun (1074284)
  • Haonan Zhong (867492)
  • Zhi Hern Tom (1068268)
  • Jiabao Zhang (1118553)

This project aims to develop algorithms to optimise the dispatch behaviour of a battery based in Victoria. Maximise revenues by charging when electricity prices are low and discharge when prices are high.

Submission

  • For submission scripts, please locate mandatory_submission.csv and bonus_submission.csv in results

External Assessment

Dependencies

Repository Directory

  • code: contains notebook and algorithms for preprocessing, data visualisation and battery optimisation
  • data: contains all the preprocessed data
  • instructions: contains all instruction given by the instructor
  • meeting_minutes: contains weekly logs for the meetings
  • plots: contains all plots
  • results: contains results of mandatory task and bonus task
  • deprecated: contains all the old codes that we no longer use

Reference