APA (7th ed.) Citation

Nazir, K., Memon, S. A., & Saurbayeva, A. (2024). A novel framework for developing a machine learning-based forecasting model using multi-stage sensitivity analysis to predict the energy consumption of PCM-integrated building. Applied energy, 376, 124180. https://doi.org/10.1016/j.apenergy.2024.124180

Chicago Style (17th ed.) Citation

Nazir, Kashif, Shazim Ali Memon, and Assemgul Saurbayeva. "A Novel Framework for Developing a Machine Learning-based Forecasting Model Using Multi-stage Sensitivity Analysis to Predict the Energy Consumption of PCM-integrated Building." Applied Energy 376 (2024): 124180. https://doi.org/10.1016/j.apenergy.2024.124180.

MLA (9th ed.) Citation

Nazir, Kashif, et al. "A Novel Framework for Developing a Machine Learning-based Forecasting Model Using Multi-stage Sensitivity Analysis to Predict the Energy Consumption of PCM-integrated Building." Applied Energy, vol. 376, 2024, p. 124180, https://doi.org/10.1016/j.apenergy.2024.124180.