Fathi, S., et al. (2020). Machine learning applications in urban building energy performance forecasting: A systematic review. Renewable and Sustainable Energy Reviews, 133, 110287.
APRUE. (2021). L’Agence Nationale pour la Promotion et la Rationalisation de l’Utilisation de l’Énergie, La situation énergétique nationale, Chiffre 2019, édition 2019.
Sénit, C. A. (2008). L’efficacité énergétique dans le secteur résidentiel: une analyse des politiques des pays du Sud et de l’Est de la Méditerranée. IIddri, Idées pour le débat, 14.
Boukarta, S. (2021). Potentiel d’économie d’énergie d’un bâtiment résidentiel. In Confort, Habitat en milieu sensible et Ville Résiliente CHSVR, 13-14 octobre, Université de Guelma.
Wong, N.H., et al. (2011). Evaluation of the impact of the surrounding urban morphology on building energy consumption. Solar energy, 85(1). pp. 57-71.
Dascalaki, E. G., Droutsa, K., Gaglia, A. G., Kontoyiannidis, S., & Balaras, C. A. (2010). Data collection and analysis of the building stock and its energy performance—An example for Hellenic buildings. Energy and Buildings, 42(8), 1231-1237.
Boukarta, S., & Berezowska-Azzag, E. (2018). Energy demand of occupant’s spatial modification in residential buildings. Case study of Médéa, Algeria. Selected Scientific Papers-Journal of Civil Engineering, 13(1), pp. 15-28.
Dall’O’, G., Galante, A., & Torri, M., (2012). A methodology for the energy performance classification of residential building stock on an urban scale. Energy and Buildings, 48 (2012) 211–219.
Boukarta, S. (2021). Exploring the impact of balconies on cooling energy demand in an arid climate zone. Selected Scientific Papers-Journal of Civil Engineering, 16(2), 25-35.
Boukarta, S. (2021). Predicting energy demand of residential buildings: A linear regression-based approach for a small sample size. Selected Scientific Papers-Journal of Civil Engineering, 16(2), 67-85.
Amiri, S.S., Mottahedi, M., & Asadi, S. (2015). Using multiple regression analysis to develop energy consumption indicators for commercial buildings in the US. Energy and Buildings, 109, 209-216.
Semahi, S., Zemmouri, N., Singh, M.K., et al. (2019). Comparative bioclimatic approach for comfort and passive heating and cooling strategies in Algeria. Building and Environment, 161, p. 106271.
Kaoula, D., & Bouchair, A. (2019). The pinpointing of the most prominent parameters on the energy performance for optimal passive strategies in ecological buildings based on bioclimatic, sensitivity and uncertainty analyses. International Journal of Ambient Energy, 1-28.