A System Identification Approach for Building Forecast Models of Green Energy Systems

The paper focuses on the forecasting models of green energy power systems and loads. Since electric energy cannot be stored efficiently in large quantities, accurate tracking of the energy generation in conjunction with the consumer requirements can lead to the optimization of energy costs in the context of the liberalization of the electric energy market and the increased usage of the alternative energy resources. System identification approach can provide useful techniques to predict both green energy generation as well as hourly or daily loads such as the appropriate decision regarding the energy balance within the system are taken. Key-Words: system identification, forecasting model, wind turbine, building.