Transfer Learning for Predicting Thermal Comfort in Office Environments with Climate Similar to Tunisia: Overcoming Data Scarcity with Deep GRU-BiGRU Models

This conference paper explores transfer learning with deep GRU-BiGRU models to address data scarcity in thermal comfort prediction for office environments with climates similar to Tunisia.

Conference paper

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

This conference paper explores transfer learning with deep GRU-BiGRU models to address data scarcity in thermal comfort prediction for office environments with climates similar to Tunisia.

Publication date
2025-07-15
Journal / proceedings
2025 11th International Conference on Control, Decision and Information Technologies (CoDIT)
Publisher
IEEE
Pages
1096-1101
DOI
10.1109/codit66093.2025.11321383
Conference location
Split, Croatia
Conference dates
2025-07-15 to 2025-07-18
Conference classification (author-provided)
Ranked conference — Rank C

Related expertise

Citation

Mohamed Khayri Rahmani; Hajer Chtioui; Jalel Ben Hadj Slama; Mireille Gettler Summa; Anouar Ben Khalifa. 2025-07-15. Transfer Learning for Predicting Thermal Comfort in Office Environments with Climate Similar to Tunisia: Overcoming Data Scarcity with Deep GRU-BiGRU Models. 2025 11th International Conference on Control, Decision and Information Technologies (CoDIT). 1096-1101. https://doi.org/10.1109/codit66093.2025.11321383

BECOME contributors

Mohamed Khayri Rahmani
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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Dr Mireille Gettler–Summa
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,Sousse,Tunisie,4023
Hajer Chtioui: Université de Sousse,Ecole Nationale d’Ingénieurs de Sousse, LATIS - Laboratory of Advanced Technology and Intelligent Systems,Sousse,Tunisie,4023
Jalel Ben Hadj Slama: Université de Sousse,Ecole Nationale d’Ingénieurs de Sousse, LATIS - Laboratory of Advanced Technology and Intelligent Systems,Sousse,Tunisie,4023
Mireille Gettler Summa: Be Excellent Creative Optimist Motivated Energic Sasu (BECOME),Paris,France
Anouar Ben Khalifa: Université de Sousse,Ecole Nationale d’Ingénieurs de Sousse, LATIS - Laboratory of Advanced Technology and Intelligent Systems,Sousse,Tunisie,4023

Scientific authors are listed above. Content record maintained by BECOME.

Related researchers

Dr Mireille Gettler–Summa
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.

View Scientific Profile
Mohamed Khayri Rahmani
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.

View details