Juelich Systems Analysis (ICE-2)

tsam is a python package which uses different machine learning algorithms for the aggregation of typical periods. It is applicable for all type of time series, either weather data, load data or both simultaneously. The module is able to significantly reduce input time series for energy system models, and therefore the model's complexity and computational time.

GitHub

Publication

Contact

Dr.-Ing. Jann Weinand

Department Head "Integrated Scenarios"

• Institute of Climate and Energy Systems (ICE)
• Juelich Systems Analysis (ICE-2)

Building 03.2 /
Room 3011

+49 2461/61-96255

E-Mail