Matheus Augusto Ferreira Soares; Zenilton Patrocínio; Cristiana Brasil Maia · 10.1016/j.engappai.2025.113430 https://doi.org/10.1016/j.engappai.2025.113430
Engineering Applications of Artificial Intelligence
A comparative study of machine learning methods to predict the thermal and energy performance of a small-scale solar chimney Matheus Augusto Ferreira Soares; Zenilton Patrocinio; Cristiana Brasil Maia Benchmarks a range of machine learning approaches against one another for forecasting how a compact solar chimney behaves, in terms of both heat transfer and energy output.
Building ventilation
Machine learning / AI
2025
Engineering Applications of Artificial Intelligence
no
2025-12-10 12:00:00 00001965
a comparative study of machine learning methods to predict the thermal and energy performance of a small-scale solar chimney
2025
Engineering Applications of Artificial Intelligence
Matheus Augusto Ferreira Soares; Zenilton Patrocínio; Cristiana Brasil Maia
10.1016/j.engappai.2025.113430
Summary
Benchmarks a range of machine learning approaches against one another for forecasting how a compact solar chimney behaves, in terms of both heat transfer and energy output.
Description written by Solar Tower. The original abstract is available from the publisher via the link below.
Open source