@ARTICLE{Kapler_Piotr_An_2021,
 author={Kapler, Piotr},
 volume={69},
 number={No. 1},
 journal={Bulletin of the Polish Academy of Sciences Technical Sciences},
 pages={e136216},
 howpublished={online},
 year={2021},
 abstract={Load profiles of residential consumers are very diverse. This paper proposes the usage of a continuous wavelet transform and wavelet coherence to perform analysis of residential power consumer load profiles. The importance of load profiles in power engineering and common shapes of profiles along with the factors that cause them are described. The continuous wavelet transform and wavelet coherence has been presented. In contrast with other studies, this research has been conducted using detailed (not averaged) load profiles. Presented load profiles were measured separately on working day and weekend during winter in two urban households. Results of applying the continuous wavelet transform for load profiles analysis are presented as coloured scalograms. Moreover, the wavelet coherence was used to detect potential relationships between two consumers in power usage patterns. Results of coherence analysis are also presented in a colourful plots. The conducted studies show that the Morlet wavelet is slightly better suitable for load profiles analysis than the Meyer’s wavelet. Research of this type may be valuable for a power system operator and companies selling electricity in order to match their offer to customers better or for people managing electricity consumption in buildings.},
 type={Article},
 title={An application of continuous wavelet transform and wavelet coherence for residential power consumer load profiles analysis},
 URL={http://ochroma.man.poznan.pl/Content/119105/PDF/09_01940_Bpast.No.69(1)_19.02.21_K1_A_.pdf},
 doi={10.24425/bpasts.2020.136216},
 keywords={residential power consumers, load profiles, power demand, continuous wavelet transform, wavelet coherence},
}