General NILM Methodology for Algorithm Parametrization, Optimization and Performance Evaluation

The research area of NILM exhibits a high heterogeneity regarding approaches and characteristics, especially in terms of the applied algorithms, measurement data, quantities, and features used, as well as congruent appliance event and state definitions. Therefore, performance evaluation and the establishment of comparability is not straightforward. The aim of the presented work was to address these challenges through the development of an application-oriented, general methodology for the parametrization, optimization, and performance evaluation of existing NILM algorithms. The methodology is based on the general NILM framework and applicable to a wide range of NILM approaches and measurement data. Temporary, individual appliance measurements are utilized to build an extended appliance database and for providing a reliable ground truth for common performance evaluation metrics. Therefore, a congruent event and state definition was also formulated. The application of the methodology focused on event-based NILM algorithms and the measurement data of a commercial building and for one significant appliance, in relation to the total energy demand of the building. The methodology proved to be suitable for the intended purpose. Two different event-detection algorithms could be optimized regarding their input parameters, to be able to identify the appliance operation behavior optimally.

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