If you are searching for software we used or developed for our papers and the software is not listed above yet, feel free to send and e-mail to Prof. Dr. Bernhard Sick. Your message will be answered immediately.
Fast Function Approximation Library
IES-Research team provides the fast function approximation library, which is a class-set of function approximation tools, based on growing and sliding window approaches. The library is written in C++, JAVA and Matlab. It has existing bindings for C and Python. You can use it as library or pure from source. For further information read the documentation. The sources can be downloaded here.
- Native C++ implementation and additional C bindings
- Native Java Implementation
- Native Matlab Implementation
- Python bindings from C++ library
Waverform data set
Click here to download the waveform data set.
Europe windfarm data set
Please contact Jens Schreiber to get access to the EuropeWindFarm data set.
GermanSolarFarm data set
Please contact Jens Schreiber to get access to the GermanSolarFarm data set.
HessianLoad data set
Please contact Jens Schreiber to get access to the HessianLoadDataset.