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District Heating Su...
District Heating Substation Behaviour Modelling for Annotating the Performance
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- Abghari, Shahrooz (författare)
- Blekinge Tekniska Högskola,Institutionen för datavetenskap
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- Boeva, Veselka, Professor (författare)
- Blekinge Tekniska Högskola,Institutionen för datavetenskap
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- Brage, Jens (författare)
- NODA Intelligent Systems AB, SWE
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- Johansson, Christian (författare)
- NODA Intelligent Systems AB, SWE
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(creator_code:org_t)
- 2020-03-28
- 2020
- Engelska.
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Ingår i: Communications in Computer and Information Science. - Cham : Springer. - 9783030438869 ; , s. 3-11
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
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- In this ongoing study, we propose a higher order data mining approach for modelling district heating (DH) substations’ behaviour and linking operational behaviour representative profiles with different performance indicators. We initially create substation’s operational behaviour models by extracting weekly patterns and clustering them into groups of similar patterns. The built models are further analyzed and integrated into an overall substation model by applying consensus clustering. The different operational behaviour profiles represented by the exemplars of the consensus clustering model are then linked to performance indicators. The labelled behaviour profiles are deployed over the whole heating season to derive diverse insights about the substation’s performance. The results show that the proposed method can be used for modelling, analyzing and understanding the deviating and sub-optimal DH substation’s behaviours. © 2020, Springer Nature Switzerland AG.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Energiteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Energy Engineering (hsv//eng)
Nyckelord
- Clustering analysis
- District heating
- Higher order mining
- Outlier detection
- Benchmarking
- Cluster analysis
- Machine learning
- Behaviour modelling
- Behaviour models
- Consensus clustering
- Heating season
- Heating substations
- Performance indicators
- Similar pattern
- Substation models
- Data mining
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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