← Search

Data · dataset · 2020

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

Listed in Teesside University Research Data Repository

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”.

Description

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.

Links

Where it is published

Catalogue records · 1

Topics

From keywords
Earth & Environmental Science
Inferred from text
Tabular 65%
Provenance · 1 source records, 7 field assertions
SourceKeyLast seenRaw
Teesside University Research Data Repositoryoai:data.mendeley.com/sh72jwth68.117 h agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[modality].local:modality:tabularenrichment · researchdata tees ac ukkeyword-concept-rules@1.0.0title+description (65%)
descriptionsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/description
licensesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/rights
publication_datesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
titlesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/title