Expansion and Superposition of Switching Cycles to generate Simulation Datasets for NILM

Datasets are essential for the development of new algorithms in the research area of Non-Intrusive Load Monitoring. Therefore, a method will be investigated to generate simulation datasets based on real measurements. For this purpose, a method is developed using the FIT-PS transformation to extend switching cycles of devices to any length. It is investigated how well the recorded signals can be reconstructed from individually composed switching cycles. Then, signal expansion and superposition are used to generate simulation datasets with different degrees of complexity, which are available under the name HELD2 datasets. The first benchmarks for event detection and classification conclude the paper.