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Disaggregation of household load profiles

Title data

Hinterstocker, Michael ; Schott, Paul ; von Roon, Serafin:
Disaggregation of household load profiles.
2017
Event: 10. Internationale Energiewirtschaftstagung (IEWT 2017) , 15.-17.02.2017 , Wien, Österreich.
(Conference item: Conference , Paper )

Official URL: Volltext

Abstract in another language

The ongoing digitalization enables new opportunities for research concerning the energy sector. Smart
meters are utilized to measure residential energy consumption. This temporally highly resolved data
can be used for investigating the energy consumption behavior of households in detail. Based only on
the data generated by smart meters, a method which identifies common household appliances is
developed. In contrast to other approaches which gather this information via surveys or direct
measurements, the presented procedure allows to analyze a large amount of households. The
appliance’s existence and further details, like program duration, energy consumption per use and
operation times are identified. Based on these results, the temporal behavior can be determined which
allows conclusions about daily and seasonal characteristics. These findings enable detailed
investigations of the Demand Side Management potential of households.

Further data

Item Type: Conference item (Paper)
Refereed: No
Keywords: Disaggregation; Demand Side Management; Smart Meter
Institutions of the University: Research Institutions
Result of work at the UBT: No
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 29 Aug 2018 06:28
Last Modified: 29 Aug 2018 06:28
URI: https://eref.uni-bayreuth.de/id/eprint/45527