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Overview of Data-Driven Methods for District Heating Systems Diagnosis Cover

Overview of Data-Driven Methods for District Heating Systems Diagnosis

Bulletin of the Polytechnic Institute of Iași. Machine constructions Section
Volume 70 (2024): Issue 3 (September 2024)
By: Alexandru Cebotari and  Daniela Popescu  
Open Access
|Jan 2025

Authors

Alexandru Cebotari

“Gheorghe Asachi” Technical University of Iaşi, Department of Fluid Mechanics, Iaşi, Romania

Daniela Popescu

daniela.popescu@academic.tuiasi.ro

“Gheorghe Asachi” Technical University of Iaşi, Department of Fluid Mechanics, Iaşi, Romania
DOI: https://doi.org/10.2478/bipcm-2024-0015 | Journal eISSN: 2537-4869 | Journal ISSN: 1011-2855
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Language: English
Page range: 45 - 55
Submitted on: Dec 1, 2024
Accepted on: Dec 16, 2024
Published on: Jan 20, 2025
Published by: Gheorghe Asachi Technical University of Iasi
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
district heating,
data-driven methods,
machine learning,
demand forecasting,
fault detection
Related subjects:
Engineering,
Mechanical engineering,
Fundamentals of mechanical engineering,
Thermodynamics,
Production technology,
Mechatronics and automotive

© 2025 Alexandru Cebotari, Daniela Popescu, published by Gheorghe Asachi Technical University of Iasi
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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