Numerical and experimental study using a novel approach to balance data for thermal comfort prediction

This journal article examines a novel data-balancing approach for thermal comfort prediction through numerical and experimental study.

Research article

Mohamed Khayri Rahmani
Hajer Chtioui
Jalel Ben Hadj Slama
Mireille Gettler Summa
Anouar Ben Khalifa

This journal article examines a novel data-balancing approach for thermal comfort prediction through numerical and experimental study.

Publication date: 2025-12-22
Journal / proceedings: Advances in Building Energy Research
Publisher: Informa UK Limited
Volume: 20
Issue: 2
Pages: 253-280
DOI: 10.1080/17512549.2025.2607052

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Citation

Mohamed Khayri Rahmani; Hajer Chtioui; Jalel Ben Hadj Slama; Mireille Gettler Summa; Anouar Ben Khalifa. 2025-12-22. Numerical and experimental study using a novel approach to balance data for thermal comfort prediction. Advances in Building Energy Research. 253-280. https://doi.org/10.1080/17512549.2025.2607052

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Scientist

Mohamed Khayri Rahmani

PhD in Electrical Engineering

Mohamed Khayri Rahmani holds a PhD in Electrical Engineering and researches AI-driven energy efficiency and intelligent control.

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ExpertScientific BoardScientist

Dr Mireille Esther Gettler Summa

Senior Scientific Advisor — Data Science, Machine Learning & Applied AI

Mathematician and Data Science researcher with more than four decades of experience spanning statistical learning, Machine Learning, European R&I and applied AI.

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Publication by a BECOME Researcher

Affiliations as published: Mohamed Khayri Rahmani: Université de Sousse, Ecole Nationale d’Ingénieurs de Sousse, LATIS - Laboratory of Advanced Technology and Intelligent Systems
Hajer Chtioui: Université de Sousse, Ecole Nationale d’Ingénieurs de Sousse, LATIS - Laboratory of Advanced Technology and Intelligent Systems
Jalel Ben Hadj Slama: Université de Sousse, Ecole Nationale d’Ingénieurs de Sousse, LATIS - Laboratory of Advanced Technology and Intelligent Systems
Mireille Gettler Summa: Be Excellent Creative Optimist Motivated Energic Sasu (BECOME); University of Paris Nanterre
Anouar Ben Khalifa: Université de Sousse, Ecole Nationale d’Ingénieurs de Sousse, LATIS - Laboratory of Advanced Technology and Intelligent Systems; Université de Jendouba, Institut National des Technologies et des Sciences du Kef
ISSN: 1751-2549, 1756-2201

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