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Abstract This work presents a methodology for generating datasets compatible with the Non-Intrusive Load Monitoring Toolkit (NILMTK) using measurements from open-source smart meters: OpenZmeter (oZm) and Open Multi Power Meter (OMPM). The purpose is to advance research on Non-Intrusive Load Monitoring by enabling detailed analysis of energy disaggregation and power quality. The main challenge is integrating data sources with extended timestamps and high-frequency electrical harmonics into the standardised NILMTK format. To solve this, custom data converters were developed for different versions of oZm (with and without harmonic support) and for OMPM (without harmonics). These converters transform HDF5/CSV data into NILMTK-compatible HDF5 structures, including up to ten electrical variables and conversion of 13-digit timestamps. Datasets with harmonic support provide 150 additional measurements of harmonics up to the 50th order. Modifications to NILMTK components enable recognition of these new formats. Results demonstrate the feasibility of extending NILMTK for advanced analysis in power-quality and energy-efficiency research.Key words: Dataset generation, Non-Intrusive Load Monitoring, NILMTK framework, Open-source smart meters, Power quality analysis.
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