Data for: Machine learning-based leakage fault detection for district heating networks

Published: 14 Feb 2020 | Version 1 | DOI: 10.17632/sh72jwth68.1
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Description of this data

This repository contains three data sets, which can be used to reproduce part of the case study in our paper “Machine learning-based leakage fault detection for district heating networks”. Specifically, Table A and Table B are the data sets used for training and testing the leakage fault detection (LFD) model in Section 4.4 of the paper. Table C presents the raw confusion matrix of the LFD results on the test set in Section 4.4.5 of the paper.

Experiment data files

Latest version

  • Version 1

    2020-02-14

    Published: 2020-02-14

    DOI: 10.17632/sh72jwth68.1

    Cite this dataset

    Xue, Puning; Jiang, Yi; Zhou, Zhigang; Chen, Xin; Fang, Xiumu; LIU, Jing (2020), “Data for: Machine learning-based leakage fault detection for district heating networks”, Mendeley Data, v1 http://dx.doi.org/10.17632/sh72jwth68.1

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Institutions

Harbin Institute of Technology

Categories

District Heating System, District Heating

Licence

CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

What does this mean?
You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.

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