Progress Update - 3rd Mar. - 9th Mar.

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Part A - Machine Learning & Statistics

    Development of Energy Market Model


  • Creation and training of a machine learning model capable of predicting energy prices based on production and consumption over a specified period.
  • Initial analysis of model performance metrics (r^2).
  • Initiating discussions on integrating the results from this model into the broader project objectives, such as integrating it with the energy production and consumption prediction model, prototype development, and end-user interface design.
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