Issa Jaffal
- Physics-informed machine learning for metamodeling thermal comfort in non-air-conditioned buildings. Dans: Building Simulation, v. 16, n. 2 (septembre 2022). (2022):
- An insight into the thermal behaviour of a building based on a metamodel for cooling energy consumption. Dans: Advances in Building Energy Research, v. 15, n. 4 (janvier 2019). (2019):
- Fast method to predict building heating demand based on the design of experiments. Dans: Energy and Buildings, v. 41, n. 6 (juin 2009). (2009):
- A metamodel for building energy performance. Dans: Energy and Buildings, v. 151 (septembre 2017). (2017):
- A metamodel for long-term thermal comfort in non-air-conditioned buildings. Dans: Architectural Engineering and Design Management, v. 16, n. 6 (novembre 2019). (2019):
- A metamodeling method to study the nonlinearity of building thermal behavior. Dans: Journal of Building Engineering, v. 28 (mars 2020). (2020):
- Assessment of green roof thermal behavior: A coupled heat and mass transfer model. Dans: Building and Environment, v. 46, n. 12 (décembre 2011). (2011):