On the performance of meta-models in building design optimization
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DOI: 10.1016/j.apenergy.2018.04.129
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- Thrampoulidis, Emmanouil & Mavromatidis, Georgios & Lucchi, Aurelien & Orehounig, Kristina, 2021. "A machine learning-based surrogate model to approximate optimal building retrofit solutions," Applied Energy, Elsevier, vol. 281(C).
- Adriana Angelotti & Livio Mazzarella & Cristina Cornaro & Francesca Frasca & Alessandro Prada & Paolo Baggio & Ilaria Ballarini & Giovanna De Luca & Vincenzo Corrado, 2023. "Calibrating the Dynamic Energy Simulation Model for an Existing Building: Lessons Learned from a Collective Exercise," Energies, MDPI, vol. 16(7), pages 1-24, March.
- Wang, Ran & Lu, Shilei & Feng, Wei, 2020. "A three-stage optimization methodology for envelope design of passive house considering energy demand, thermal comfort and cost," Energy, Elsevier, vol. 192(C).
- Ascione, Fabrizio & Bianco, Nicola & Mauro, Gerardo Maria & Napolitano, Davide Ferdinando, 2019. "Retrofit of villas on Mediterranean coastlines: Pareto optimization with a view to energy-efficiency and cost-effectiveness," Applied Energy, Elsevier, vol. 254(C).
- Yue, Naihua & Caini, Mauro & Li, Lingling & Zhao, Yang & Li, Yu, 2023. "A comparison of six metamodeling techniques applied to multi building performance vectors prediction on gymnasiums under multiple climate conditions," Applied Energy, Elsevier, vol. 332(C).
- Rode, David C. & Fischbeck, Paul S., 2018. "Reduced-form models for power market risk analysis," Applied Energy, Elsevier, vol. 228(C), pages 1640-1655.
- Cristina Piselli & Anna Laura Pisello & Mohammad Saffari & Alvaro de Gracia & Franco Cotana & Luisa F. Cabeza, 2019. "Cool Roof Impact on Building Energy Need: The Role of Thermal Insulation with Varying Climate Conditions," Energies, MDPI, vol. 12(17), pages 1-20, August.
- Muñoz-Liesa, Joan & Royapoor, Mohammad & López-Capel, Elisa & Cuerva, Eva & Rufí-Salís, Martí & Gassó-Domingo, Santiago & Josa, Alejandro, 2020. "Quantifying energy symbiosis of building-integrated agriculture in a mediterranean rooftop greenhouse," Renewable Energy, Elsevier, vol. 156(C), pages 696-709.
- Seung Yeoun Choi & Sean Hay Kim, 2022. "Selection of a Transparent Meta-Model Algorithm for Feasibility Analysis Stage of Energy Efficient Building Design: Clustering vs. Tree," Energies, MDPI, vol. 15(18), pages 1-25, September.
- Mostafa M. Saad & Ramanunni Parakkal Menon & Ursula Eicker, 2023. "Supporting Decision Making for Building Decarbonization: Developing Surrogate Models for Multi-Criteria Building Retrofitting Analysis," Energies, MDPI, vol. 16(16), pages 1-28, August.
- Wang, Ran & Lu, Shilei & Feng, Wei, 2020. "Impact of adjustment strategies on building design process in different climates oriented by multiple performance," Applied Energy, Elsevier, vol. 266(C).
- Wu, Xianguo & Feng, Zongbao & Chen, Hongyu & Qin, Yawei & Zheng, Shiyi & Wang, Lei & Liu, Yang & Skibniewski, Miroslaw J., 2022. "Intelligent optimization framework of near zero energy consumption building performance based on a hybrid machine learning algorithm," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
- Chegari, Badr & Tabaa, Mohamed & Simeu, Emmanuel & Moutaouakkil, Fouad & Medromi, Hicham, 2022. "An optimal surrogate-model-based approach to support comfortable and nearly zero energy buildings design," Energy, Elsevier, vol. 248(C).
- Westermann, Paul & Welzel, Matthias & Evins, Ralph, 2020. "Using a deep temporal convolutional network as a building energy surrogate model that spans multiple climate zones," Applied Energy, Elsevier, vol. 278(C).
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Keywords
Multi-objective optimization; Surrogate model; Efficient global optimization; Building simulation; nZEB design;All these keywords.
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