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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Fault and anomaly detection in district heating substations: A survey on methodology and data sets
Martin Neumayer, Dominik Stecher, Sebastian Grimm, et al.
Energy (2023) Vol. 276, pp. 127569-127569
Open Access | Times Cited: 23

Showing 23 citing articles:

Disaggregation of total energy use into space heating and domestic hot water: A city-scale suited approach
Markus Schaffer, Joakim Widén, J. Eduardo Vera‐Valdés, et al.
Energy (2024) Vol. 291, pp. 130351-130351
Open Access | Times Cited: 5
Pattern Detection in Abnormal District Heating Data
Gideon Mbiydzenyuy, Håkan Sundell
Lecture notes in computer science (2025), pp. 224-239
Closed Access
Data-driven approach for the detection of faults in district heating networks
Enzo Losi, Lucrezia Manservigi, Pier Ruggero Spina, et al.
Sustainable Energy Grids and Networks (2024) Vol. 38, pp. 101355-101355
Closed Access | Times Cited: 3
A systematic approach for data generation for intelligent fault detection and diagnosis in District Heating
Jonne van Dreven, Veselka Boeva, Shahrooz Abghari, et al.
Energy (2024) Vol. 307, pp. 132711-132711
Open Access | Times Cited: 3
Potential for supply temperature reduction of existing district heating substations
Martina Capone, Elisa Guelpa, Vittorio Verda
Energy (2023) Vol. 285, pp. 128597-128597
Open Access | Times Cited: 9
Strengths, weaknesses, opportunities and threats of demand response in district heating and cooling systems. From passive customers to valuable assets
Anna Marszal-Pomianowska, Emilia Motoasca, Ivo Pothof, et al.
Smart Energy (2024) Vol. 14, pp. 100135-100135
Open Access | Times Cited: 2
Development of Hybrid District Heating Systems
А. В. Седнин, K. M. Dyussenov
ENERGETIKA Proceedings of CIS higher education institutions and power engineering associations (2024) Vol. 67, Iss. 2, pp. 173-188
Open Access | Times Cited: 2
A Survey on Anomalies and Faults that may Impact the Reliability of Renewable-based Power Systems
Valerio Mariani, Giovanna Adinolfi, Amedeo Buonanno, et al.
(2024)
Open Access | Times Cited: 2
Fouling Fault Detection and Diagnosis in District Heating Substations: Validation of a Hybrid CNN-based PCA Model with Uncertainty Quantification on Virtual Replica Synthesis and Real Data
Mohammed Ali Jallal, Mathieu Vallée, Nicolas Lamaison
Energy (2024), pp. 133590-133590
Open Access | Times Cited: 2
Difference analysis and recognition of hydraulic oscillation by two types of sudden faults on long-distance district heating pipeline
Jingjing Yan, Huan Zhang, Yaran Wang, et al.
Energy (2023) Vol. 284, pp. 128696-128696
Closed Access | Times Cited: 4
A novel model to detect abnormal thermal energy consumption in existing buildings with limited metering infrastructure
Laura Canale, Giorgio Ficco, Biagio Di Pietra, et al.
Energy and Buildings (2024), pp. 114803-114803
Closed Access | Times Cited: 1
A hierarchical classifying and two-step training strategy for detection and diagnosis of anormal temperature in district heating system
Chunhua Sun, Haixiang Zhang, Shanshan Cao, et al.
Applied Energy (2023) Vol. 349, pp. 121731-121731
Closed Access | Times Cited: 3
Early outlier detection in three-phase induction heating systems using clustering algorithms
Mohammed H. Qais, Seema Kewat, K. H. Loo, et al.
Ain Shams Engineering Journal (2023) Vol. 15, Iss. 3, pp. 102467-102467
Open Access | Times Cited: 3
Severe Fault Diagnosis in Digitized District Heating Network Substations: A Machine Learning Regression Approach
Martin Rätz, Rita Streblow, Dirk Müller
(2024), pp. 472-473
Closed Access
Dynamic Multivariate State Estimation Early Fault Diagnosis Method for Multi-Mode Nonstationary Industrial Process Based on Multi-Domain Transfer Collaboration Learning
Yan Liu, Zuhua Xu, Pengwei Zhou, et al.
(2024)
Closed Access
A Survey on Anomalies and Faults That May Impact the Reliability of Renewable-Based Power Systems
Valerio Mariani, Giovanna Adinolfi, Amedeo Buonanno, et al.
Sustainability (2024) Vol. 16, Iss. 14, pp. 6042-6042
Open Access
A baseline model combining physics and data-driven approach for operation evaluation of district heating substation
Yakai Lu, Xingyu Peng, Conghui Li, et al.
Energy and Buildings (2024) Vol. 321, pp. 114582-114582
Closed Access
Identifying untraced faults associated with high return temperatures from heating systems in buildings connected to district heating networks
Qinjiang Yang, Robbe Salenbien, Kevin Michael Smith, et al.
Energy (2024) Vol. 309, pp. 133097-133097
Open Access
Towards an Approach to Multivariate Outlier Detection for District Heating System Data
Rajko Turudija, Dušan Stojiljković, Milan Zdravković, et al.
Lecture notes in networks and systems (2024), pp. 49-61
Closed Access
Fault detection for district heating substations: Beyond three-sigma approaches
Chris Hermans, Jad Al Koussa, Tijs Van Oevelen, et al.
Smart Energy (2024), pp. 100159-100159
Open Access
Fault Detection in District Heating Substations: Overview of Real-Life Faults in Residential Heating Installations
Anna Marszal-Pomianowska, Daniel Leiria, Hicham Johra, et al.
Lecture notes in computer science (2024), pp. 357-364
Closed Access
Creating a labelled district heating data set: From anomaly detection towards fault detection
Dominik Stecher, Martin Neumayer, A. Ramachandran, et al.
Energy (2024), pp. 134016-134016
Closed Access
Clustering- and statistic-based approach for detection and impact evaluation of faults in end-user substations of thermal energy systems
Samanta A. Weber, Michael Fischlschweiger, Dirk Volta, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
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