Universität zu Köln

Koolen, Derck, Sadat-Razavi, Navid and Ketter, Wolfgang ORCID: 0000-0001-9008-142X (2017). Machine Learning for Identifying Demand Patterns of Home Energy Management Systems with Dynamic Electricity Pricing. Appl. Sci.-Basel, 7 (11). BASEL: MDPI. ISSN 2076-3417

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Abstract

Energy management plays a crucial role in providing necessary system flexibility to deal with the ongoing integration of volatile and intermittent energy sources. Demand Response (DR) programs enhance demand flexibility by communicating energy market price volatility to the end-consumer. In such environments, home energy management systems assist the use of flexible end-appliances, based upon the individual consumer's personal preferences and beliefs. However, with the latter heterogeneously distributed, not all dynamic pricing schemes are equally adequate for the individual needs of households. We conduct one of the first large scale natural experiments, with multiple dynamic pricing schemes for end consumers, allowing us to analyze different demand behavior in relation with household attributes. We apply a spectral relaxation clustering approach to show distinct groups of households within the two most used dynamic pricing schemes: Time-Of-Use and Real-Time Pricing. The results indicate that a more effective design of smart home energy management systems can lead to a better fit between customer and electricity tariff in order to reduce costs, enhance predictability and stability of load and allow for more optimal use of demand flexibility by such systems.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Koolen, Derck UNSPECIFIED UNSPECIFIED UNSPECIFIED Sadat-Razavi, Navid UNSPECIFIED UNSPECIFIED UNSPECIFIED Ketter, Wolfgang UNSPECIFIED orcid.org/0000-0001-9008-142X UNSPECIFIED
URN:	urn:nbn:de:hbz:38-211955
DOI:	10.3390/app7111160
Journal or Publication Title:	Appl. Sci.-Basel
Volume:	7
Number:	11
Date:	2017
Publisher:	MDPI
Place of Publication:	BASEL
ISSN:	2076-3417
Language:	English
Faculty:	Faculty of Management, Economy and Social Sciences
Divisions:	Center of Excellence C-SEB Faculty of Management, Economics and Social Sciences > Business Administration > Information Systems > Chair for Information Systems and Systems Development
Subjects:	Economics
Uncontrolled Keywords:	Keywords Language LOAD PROFILES; CONSUMPTION; SIMULATION Multiple languages Chemistry, Multidisciplinary; Engineering, Multidisciplinary; Materials Science, Multidisciplinary; Physics, Applied Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/21195