arXiv Open Access 2025

Generalizable AI Model for Indoor Temperature Forecasting Across Sub-Saharan Africa

Zainab Akhtar Eunice Jengo Björn Haßler

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Abstrak

This study presents a lightweight, domain-informed AI model for predicting indoor temperatures in naturally ventilated schools and homes in Sub-Saharan Africa. The model extends the Temp-AI-Estimator framework, trained on Tanzanian school data, and evaluated on Nigerian schools and Gambian homes. It achieves robust cross-country performance using only minimal accessible inputs, with mean absolute errors of 1.45°C for Nigerian schools and 0.65°C for Gambian homes. These findings highlight AI's potential for thermal comfort management in resource-constrained environments.

Topik & Kata Kunci

cs.LG

Penulis (3)

Zainab Akhtar

Eunice Jengo

Björn Haßler

Format Sitasi

APA MLA BibTeX

Akhtar, Z., Jengo, E., Haßler, B. (2025). Generalizable AI Model for Indoor Temperature Forecasting Across Sub-Saharan Africa. https://arxiv.org/abs/2508.20260

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Informasi Jurnal

Tahun Terbit: 2025
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓