Data Challenges in AI-Driven HVAC Systems: A Critical Analysis and Future Directions Cover

.blurhash-client-img { display: none !important; }

Data Challenges in AI-Driven HVAC Systems: A Critical Analysis and Future Directions

Environmental and Climate Technologies

Volume 29 (2025): Issue 1 (January 2025)

By: Dalia Mohammed Talat Ebrahim Ali and Violeta Motuzienė

Open Access

|Sep 2025

Authors

Dalia Mohammed Talat Ebrahim Ali

dalia.ali@lei.lt

Lithuanian Energy Institute, Kaunas, Lithuania

Violeta Motuzienė

Vilnius Gediminas Technical University, Vilnius, Lithuania

DOI: https://doi.org/10.2478/rtuect-2025-0036 | Journal eISSN: 2255-8837 | Journal ISSN: 1691-5208

Journal RSS Feed

Language: English

Page range: 527 - 539

Submitted on: Mar 19, 2025

Accepted on: Aug 27, 2025

Published on: Sep 12, 2025

Published by: Riga Technical University

In partnership with: Paradigm Publishing Services

Publication frequency: 2 issues per year

Keywords:

Building management systems,

energy efficiency,

machine learning

Related subjects:

Life sciences, other

© 2025 Dalia Mohammed Talat Ebrahim Ali, Violeta Motuzienė, published by Riga Technical University
This work is licensed under the Creative Commons Attribution 4.0 License.

Previous article Volume 29 (2025): Issue 1 (January 2025)Next article