Exploring district heating systems: A SCADA dataset for enhanced explainabilityMendeley Data

Optimizing District Heating Systems (DHS) to achieve sustainability objectives and minimize costs requires access to comprehensive real-world datasets. This paper introduces a dataset comprising field data collected from a DHS system featuring five heating substations installed in residential buildi...

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Main Authors: Stevica Cvetković, Milan Zdravković, Marko Ignjatović
Format: Article
Language:English
Published: Elsevier 2025-04-01
Series:Data in Brief
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Online Access:http://www.sciencedirect.com/science/article/pii/S2352340925000526
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author Stevica Cvetković
Milan Zdravković
Marko Ignjatović
author_facet Stevica Cvetković
Milan Zdravković
Marko Ignjatović
author_sort Stevica Cvetković
collection DOAJ
description Optimizing District Heating Systems (DHS) to achieve sustainability objectives and minimize costs requires access to comprehensive real-world datasets. This paper introduces a dataset comprising field data collected from a DHS system featuring five heating substations installed in residential buildings within the city of Niš, Serbia. Spanning a period of up to five years (2019–2024), the dataset originates from a SCADA system, capturing critical parameters such as heating fluid temperatures in the supply and return lines of both primary and secondary flows, energy transmission measurements, and outdoor temperatures from a local meteorological station. All measured data underwent comprehensive pre-processing using established methodologies, resulting in uniformly spaced hourly data free of errors or missing values. Furthermore, a preliminary exploratory data analysis was conducted to uncover insights into the underlying relationships and distributions within the data. We contend that this dataset is of considerable relevance to researchers and practitioners in the fields of smart cities, energy efficiency, and district heating.
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institution Kabale University
issn 2352-3409
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publishDate 2025-04-01
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series Data in Brief
spelling doaj-art-9c88c269b29749bfac463822c752f3672025-01-30T05:14:23ZengElsevierData in Brief2352-34092025-04-0159111320Exploring district heating systems: A SCADA dataset for enhanced explainabilityMendeley DataStevica Cvetković0Milan Zdravković1Marko Ignjatović2Faculty of Electronic Engineering, University of Niš, Aleksandra Medvedeva 4, 18104 Niš, Serbia; Corresponding author.Faculty of Mechanical Engineering, University of Niš, Aleksandra Medvedeva 4, 18104 Niš, SerbiaFaculty of Mechanical Engineering, University of Niš, Aleksandra Medvedeva 4, 18104 Niš, SerbiaOptimizing District Heating Systems (DHS) to achieve sustainability objectives and minimize costs requires access to comprehensive real-world datasets. This paper introduces a dataset comprising field data collected from a DHS system featuring five heating substations installed in residential buildings within the city of Niš, Serbia. Spanning a period of up to five years (2019–2024), the dataset originates from a SCADA system, capturing critical parameters such as heating fluid temperatures in the supply and return lines of both primary and secondary flows, energy transmission measurements, and outdoor temperatures from a local meteorological station. All measured data underwent comprehensive pre-processing using established methodologies, resulting in uniformly spaced hourly data free of errors or missing values. Furthermore, a preliminary exploratory data analysis was conducted to uncover insights into the underlying relationships and distributions within the data. We contend that this dataset is of considerable relevance to researchers and practitioners in the fields of smart cities, energy efficiency, and district heating.http://www.sciencedirect.com/science/article/pii/S2352340925000526District heating systemTime seriesReal-time dataExplainable artificial intelligence
spellingShingle Stevica Cvetković
Milan Zdravković
Marko Ignjatović
Exploring district heating systems: A SCADA dataset for enhanced explainabilityMendeley Data
Data in Brief
District heating system
Time series
Real-time data
Explainable artificial intelligence
title Exploring district heating systems: A SCADA dataset for enhanced explainabilityMendeley Data
title_full Exploring district heating systems: A SCADA dataset for enhanced explainabilityMendeley Data
title_fullStr Exploring district heating systems: A SCADA dataset for enhanced explainabilityMendeley Data
title_full_unstemmed Exploring district heating systems: A SCADA dataset for enhanced explainabilityMendeley Data
title_short Exploring district heating systems: A SCADA dataset for enhanced explainabilityMendeley Data
title_sort exploring district heating systems a scada dataset for enhanced explainabilitymendeley data
topic District heating system
Time series
Real-time data
Explainable artificial intelligence
url http://www.sciencedirect.com/science/article/pii/S2352340925000526
work_keys_str_mv AT stevicacvetkovic exploringdistrictheatingsystemsascadadatasetforenhancedexplainabilitymendeleydata
AT milanzdravkovic exploringdistrictheatingsystemsascadadatasetforenhancedexplainabilitymendeleydata
AT markoignjatovic exploringdistrictheatingsystemsascadadatasetforenhancedexplainabilitymendeleydata