Saurbayeva A 1

1. Utilizing the Fanger thermal comfort model to evaluate the thermal, energy, economic, and environmental performance of PCM-integrated buildings in various climate zones worldwide
2. Implementation of the panel data regression analysis in PCM integrated buildings located in a humid subtropical climate
3. An Exhaustive Search Energy Optimization Method for Residential Building Envelope in Different Climatic Zones of Kazakhstan
4. 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
5. Energy consumption predictions by genetic programming methods for PCM integrated building in the tropical savanna climate zone
6. Predicting the PCM-incorporated buildings performance using optimized linear kernel and tree-based machine learning methods
7. Integrated multi-stage sensitivity analysis and multi-objective optimization approach for PCM integrated residential buildings in different climate zones
8. Sensitivity analysis and optimization of PCM integrated buildings in a tropical savanna climate
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