Details
Title
An application of continuous wavelet transform and wavelet coherence for residential power consumer load profiles analysisJournal title
Bulletin of the Polish Academy of Sciences Technical SciencesYearbook
2021Volume
69Issue
No. 1Affiliation
Kapler, Piotr : Warsaw University of Technology, Faculty of Electrical Engineering, Power Engineering Institute, ul. Koszykowa 75, 00-662, Warsaw, PolandAuthors
Keywords
residential power consumers ; load profiles ; power demand ; continuous wavelet transform ; wavelet coherenceDivisions of PAS
Nauki TechniczneCoverage
e136216Bibliography
- M. Bicego, A. Farinelli, E. Grosso, D. Paolini, and S.D. Ramchurn, “On the distinctiveness of the electricity load profile”, Pattern Recognit. 74, 317‒325 (2018), doi: 10.1016/j.patcog.2017.09.039
- P. Piotrowski, D. Baczyński, S. Robak, M. Kopyt, M. Piekarz, and M. Polewaczyk, “Comprehensive forecast of electromobility mid- term development in Poland and its impacts on power system demand”, Bull. Pol. Ac.: Tech, 68(4), 697‒709 (2020), doi: 10.24425/ bpasts.2020.134180
- M. Sepehr, R. Eghtedaei, A. Toolabimoghadam, Y. Noorollahi, and M. Mohammadi, “Modeling the electrical energy consumption profile for residential buildings in Iran”, Sustain. Cities Soc. 41, 481‒489 (2018), doi: 10.1016/j.scs.2018.05.041
- Z. Ning and D. Kirschen, “Preliminary Analisys of High Resolution Domestic Load Data, Part of Supergen Flexnet Project”, The University of Manchester, 2010. [Online]. https://labs.ece.uw.edu/real/Library/Reports/Preliminary_Analysis_of_High_Resolution_Domestic_Load_ Data_Compact.pdf
- J.L. Ramirez-Mendiola, Ph. Grunewald, and N. Eyre, “Linking intra-day variations in residential electricity demand loads to consumer’s activities: What’s missing ?”, Energy Build. 161, 63‒71 (2018), doi: 10.1016/j.enbuild.2017.12.012
- J.L. Ramirez-Mendiola, Ph. Grunewald, and N. Eyre, “The diversity of residential electricity demand – A comparative analysis of metered and simulated data”, Energy Build. 151, 121‒131 (2017), doi: 10.1016/j.enbuild.2017.06.006
- M. Bartecka, P. Terlikowski, M. Kłos, and Ł. Michalski, „Sizing of prosumer hybrid renewable energy systems in Polnad”, Bull. Pol. Ac.: Tech, 68(4), 721‒731 (2020), doi: 10.24425/bpasts.2020.133125
- D.S. Osipov, A.G. Lyutarevich, R.A. Gapirov, V.N. Gorunkov, and A.A. Bubenchikov, “Applications of Wavelet Transform for Analysis of Electrical Transients in Power Systems: The Review”, Prz. Elektrotechniczny (Electrical Review), 92(4), 162‒165 (2016), doi: 10.15199/48.2016.04.35
- R. Kumar and H.O. Bansal, “Hardware in the loop implementation of wavelet based strategy in shunt active power filter to mitigate power quality issues”, Electr. Power Syst. Res. 169, 92‒104 (2019), doi: 10.1016/j.epsr.2019.01.001
- R. Escudero, J. Noel, J. Elizondo, and J. Kirtley, “Microgrid fault detection based on wavelet transformation and Park’s vector approach”, Electr. Power Syst. Res. 152, 401‒410 (2017), doi: 10.1016/j.epsr.2017.07.028
- M. El-Hendawi and Z. Wang, “An ensemble method of full wavelet packet transform and neural network for short term electrical load forecasting”, Electr. Power Syst. Res. 182 (2020), doi: 10.1016/j.epsr.2020.106265
- K. Dowalla, W. Winiecki, R. Łukaszewski, and R. Kowalik, „Electrical appliances identyfication based on wavelet transform of power supply voltage signal”, Prz. Elektrotechniczny (Electrical Review), 94 (11), 43‒46 (2018), doi: 10.15199/48.2018.11.10 [in Polish].
- A. Graps, “An introduction to wavelets”, IEEE Comput. Sci. Eng. 2, 50‒61 (1995), doi: 10.1109/99.388960
- Ch. Chiann and P. A. Morettin, “A wavelet analysis for time series”, J. Nonparametr. Statist. 10(1), 1‒46, (1999), doi: 10.1080/10485259808832752
- P. Sleziak, K. Hlavcova, and J. Szolgay, “Advanatges of a time series analysis using wavelet transform as compared with Fourier analysis”, Slov. J. Civ. Eng. 23(2), 30‒36, (2015), doi: 10.1515/sjce-2015-0010
- S. Avdakovic, A. Nuhanovic, M. Kusljugic, E. Becirovic and E. Turkovic, “Wavelet multiscale analysis of a power system load variance”, Turk. J. Electr. Eng. Comp. Sci. 1035‒1043, (2013), doi: 10.3906/elk-1109-47
- M. Hayn, V. Bertsch, and W. Fichtner, “Electricity load profiles in Europe: The importance of household segmentation”, Energy Res. Soc. Sci. 3, 30–45, (2014), doi: 10.1016/j.erss.2014.07.002
- R. Cruickshank, G. Henze, R. Balaji, H. Br-Mathias, and A. Florita, “Quantifying the Opporturnity Limits of Automatic Residential Electric Load Shaping”, Energies 12, (2019), doi: 10.3390/en12173204
- M. Kott, “The electricity Consumption in Polish Households”, Modern Electr. Power Syst. 2015 – MEPS’15, Wrocław, Poland, July 6‒9, 2015, doi: 10.1109/MEPS.2015.7477166
- O. Elma and U.S. Selamogullar, “A Survey of a Residential Load Profile for Demand Side Managemenet Systems”, The 5th IEEE Internationl Conference on Smart Energy Grid Enegineering, 2017, doi: 10.1109/SEGE.2017.8052781
- P. Kapler, “Utilization of the adaptive potential of individual power consumers in interaction with power system”, Ph.D. Thesis, Warsaw University of Technology, Faculty of Electrical Engineering, (2018), [in Polish].
- A. Grinsted, J.C. Moore, and S. Jevrejeva, “Application of the cross wavelet transform and wavelet coherence to geophysical time series”, Nonlinear Process Geophys. European Geosciences Union (EGU), 11(5/6), 561‒566, (2004), doi: 10.5194/npg-11-561-2004
- B. Cazelles, M. Chavez, D. Berteaux, F. Menard, J.O. Vik, S. Jenouvrier, and N. C. Stenseth, “Wavelet analysis of ecological time series”, Oecologia 156, 287‒304 (2008), doi: 10.1007/s00442-008-0993-2