A Brief Literature Review of Structuring District Heating Data based on Measured Values
DOI:
https://doi.org/10.18061/ojs.v122i2.8845Keywords:
district heating, clustering data, smart meter, head load pattern, energy efficiencyAbstract
This study reviews existing literature regarding district heating (DH) data and its clustering. In district heating, heat is produced at a central plant and supplied via a pipeline network to consumers (for example: homes, businesses, and industrial facilities). Different approaches were used—some based on consumption data and others based on heat load/demand data. Common methodology was researched and checked. New methods were double checked if reused in related work or developed single purpose only. Most databases are highly susceptible to being inconsistent, incomplete (lacking attribute values), and/or noisy (containing errors or outlier values). The major obstacle to obtain knowledge is poor data. It is necessary, therefore, to ensure that the knowledge discovered from the databases is, in fact, reliable. The PRISMA flow chart was applied to screen over 60 articles and to perform the literature review. As a result, 12 papers were identified dealing with the structuring of district heating data—almost all use either K-means methodology directly or another methodology based on K-means. Additionally, this study identified a research gap regarding eastern Europe in the data used and descriptions of applied methods.
Downloads
Published
Issue
Section
License
Copyright (c) 2022 Uwe Radtke
This work is licensed under a Creative Commons Attribution 4.0 International License.
This Author Agreement for The Ohio Journal of Science ("Agreement") is entered into by and between The Ohio State University, on behalf of its University Libraries ("Publisher") and the author ("Author").
For good and valuable consideration, Publisher and Author agree as follows:
1. Author hereby grants to Publisher the right to publish, reproduce, distribute, translate, transmit and display his/her submitted work and an abstract thereof ("Work") in The Ohio Journal of Science in whole or in part and in all formats and all media. Author also hereby grants to Publisher the right for Publisher to enter into agreements with third parties that grant such third parties any or all of the rights that Author has granted to Publisher herein. The aforementioned rights may include the rights necessary to index and abstract the Work. The Author agrees that any subsequent publication of the Work will credit The Ohio Journal of Science as the site of first publication and provide a link to The Ohio Journal of Science website. This Agreement is subject to the terms and expectations outlined on Publisher's website (http://go.osu.edu/publishing-services).
2. Author represents and warrants that: (1) they are the creator and rights holder of the Work; (2) Publisher's exercise of the rights granted to Publisher herein will not infringe or violate any copyright or any other right of a third party; (3) if the Work contains any third party content, they have obtained the unrestricted permission of the copyright owner or that use of third party material is allowed because the material is in the public domain or an appropriate fair use analysis has been performed and there is a reasonable belief that use is permitted and (4) the Work contains nothing libelous or otherwise unlawful. Author hereby agrees to indemnify and hold harmless Publisher and its trustees, officers, employees, agents, and subgrantees from all claims related to Publisher's exercise of the rights granted to Publisher herein or related to the subject matter covered in Author's representations and warranties.
The Ohio Journal of Science is published under a Creative Commons Attribution 4.0 International license, to allow for certain types of reuse without permission. By submitting this agreement, the Author agrees to apply a CC BY 4.0 license to the Work upon publication.
