Master Thesis Student
- Identification and Integration of suitable AI-based control and optimization techniques for grid-level-dependent control of charging processes in the EM4Q system
- Implement electricity consumption forecasting using LSTM neural networks using hourly-level historical time series data and forecasting the minute-level load consumption.
- Classification of time series data to weekdays and weekends.
- Add new weekly live data to the forecast model using ensemble model.