Course

Getting to know

• Supply media and cross-sector energy systems

• Methods for energy forecasting:
  • Energy demand forecast for the energy supply with electricity, gas, heating/cooling
  • Fluctuating feed-in from wind turbines and PV systems
  • Time series analysis methods for identifying characteristic properties and exogenous influencing variables

• Modeling:
  • Design and conception of prediction models, deterministic and stochastic time series models, analytical models (input and output models, state models), linguistic models (e.g. fuzzy models), connectionist models (e.g. KNN)

• Methods for model validation and interpretation

• Methods for optimizing energy use:
  • Optimization methods and their areas of application
  • Creation of the optimization task
  • Identification of the problem, definition of the balance area
  • Identification of the optimization variables and boundary conditions
  • Modelling of optimization tasks
  • Scenario and variant calculation

Acquisition of skills

• Use of the methods learned for time series analysis and time series forecasting
• Selection and application of methods for energy use optimization
• Independent implementation of time series analyses and derivation of forecast models
• Independent creation, modelling and development of optimization models
• Practical skills through computer-aided exercises on energy forecasting and energy use optimization