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Demand response clustering - how do dynamic prices affect household electricity consumption?

: Waczowicz, Simon; Reischl, Markus; Hagenmeyer, Veit; Mikut, Ralf; Klaiber, Stefan; Bretschneider, Peter; Konotop, Irina; Westermann, Dirk


Institute of Electrical and Electronics Engineers -IEEE-; Institute of Electrical and Electronics Engineers -IEEE-, Power & Energy Society -PES-:
IEEE PowerTech Eindhoven 2015 : June 29 - July 2, 2015, Eindhoven
Piscataway, NJ: IEEE, 2015
ISBN: 978-1-4799-7695-9 (Print)
ISBN: 978-1-4799-7692-8 (USB)
ISBN: 978-1-4799-7693-5 (Online)
PowerTech Conference <2015, Eindhoven>
Fraunhofer IOSB ()
data mining; demand response; pattern clustering; smart grid; NAT

The article analyses effects of price signals on the consumption behavior of household electricity customers. It proposes a systematic analysis process consisting of data preprocessing, aggregation steps and clustering methods. This analysis process was applied to two smart meter datasets (Olympic Peninsula Project, RESIDENS). Large fluctuations in customers' response to the same price signal were detected.