Development of Power Consumption Models

• Data acquisition for training the machine learning model related to energy consumption and meteorological data.
• Analysis, processing, and statistical treatment of data.
• Development of a machine learning model (LSTM) for predicting national energy consumption.
• Metrics analysis.
• Initial discussions on incorporating the results obtained by this model and its usage in the broader project (e.g., Integration with the energy production and market forecast model, mock-up, and end-user interface).

• Continuation of the study on how blockchain chains and smart contracts function;
• Continuation of the research on the legal conditions our project could face in the future;