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Trend analysis to automatically identify heat program changes
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
NODA Intelligent Systems AB, SWE.
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
Show others and affiliations
2017 (English)In: Energy Procedia, Elsevier, 2017, Vol. 116, 407-415 p.Conference paper, Published paper (Refereed)
Abstract [en]

The aim of this study is to improve the monitoring and controlling of heating systems located at customer buildings through the use of a decision support system. To achieve this, the proposed system applies a two-step classifier to detect manual changes of the temperature of the heating system. We apply data from the Swedish company NODA, active in energy optimization and services for energy efficiency, to train and test the suggested system. The decision support system is evaluated through an experiment and the results are validated by experts at NODA. The results show that the decision support system can detect changes within three days after their occurrence and only by considering daily average measurements.

Place, publisher, year, edition, pages
Elsevier, 2017. Vol. 116, 407-415 p.
Series
Energy Procedia, ISSN 1876-6102 ; 116
Keyword [en]
District heating, Trend analysis, Change detection, Smart automated system
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:bth-12894DOI: 10.1016/j.egypro.2017.05.088ISI: 000406743000039OAI: oai:DiVA.org:bth-12894DiVA: diva2:974391
Conference
15th International Symposium on District Heating and Cooling (DHC2016), Seoul
Projects
BigData@BTH
Funder
Knowledge Foundation, 20140032
Note

Open access

Available from: 2016-09-26 Created: 2016-07-13 Last updated: 2017-09-15Bibliographically approved

Open Access in DiVA

fulltext(500 kB)925 downloads
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Publisher's full texthttp://www.sciencedirect.com/science/article/pii/S1876610217322956

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Abghari, ShahroozGarcía Martín, EvaLavesson, NiklasGrahn, Håkan
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