This work is licensed under the Creative Commons Attribution 4.0 International License.
Engineering, D. O. E., Technology, I. I. O., & India, R. U. (2017). Scheduling of demand-side resources for a building energy management system. International Transactions on Electrical Energy Systems.Search in Google Scholar
Dong, S., & Gao, B. (2017). Application and exploration of bim technology in architectural landscape design. Revista de la Facultad de Ingenieria, 32(14), 742-747.Search in Google Scholar
Salehi, H., & Akbari, E. (2018). Design of architectural models to enhance the security of buildings and urban areas against military with passive defense approach. Acta Technica CSAV (Ceskoslovensk Akademie Ved), 63(5), 683-700.Search in Google Scholar
Pena, M. L. C., Adrián Carballal, Rodriguez-Fernandez, N., Santos, I., & Romero, J. (2021). Artificial intelligence applied to conceptual design. a review of its use in architecture. Automation in Construction, 124(3–4), 30.Search in Google Scholar
Balku, & Koyiit, F. B. (2018). Low carbon architectural design. Gazi University Journal of Science, 31(1), 13-23.Search in Google Scholar
Asadi, S. (2021). Role of architectural design in creating circadian-effective interior settings. Energies, 14.Search in Google Scholar
Naboni, E., Lee, S. H., & Fabbri, K. (2017). Thermal comfort-cfd maps for architectural interior design. Procedia Engineering.Search in Google Scholar
Wang, H. (2017). Construction of xapi-based multimedia interaction technology in architectural design teaching. International Journal of Emerging Technologies in Learning, 12(07).Search in Google Scholar
Chatzikonstantinou, I., & Sariyildiz, I. S. (2017). Addressing design preferences via auto-associative connectionist models: application in sustainable architectural faade design. Automation in Construction, 83(nov.), 108-120.Search in Google Scholar
Johnson, B. B. (2018). Residential location and psychological distance in americans’ risk views and behavioral intentions regarding zika virus. Risk Analysis, 38(12), 2561-2579.Search in Google Scholar
Mccoy, A. P., & Sargent, F. (2022). A healthy building demand. Electrical contractor(3), 87.Search in Google Scholar
Jiang, S., Wang, M., & Ma, L. (2023). Gaps and requirements for applying automatic architectural design to building renovation. Automation in Construction, 147, 104742-.Search in Google Scholar
Chaturvedi, S., & Rajasekar, E. (2022). Application of a probabilistic lhs–pawn approach to assess building cooling energy demand uncertainties. Building Simulation, 15(3), 373-387.Search in Google Scholar
Sekhar, C., & Dahiya, R. (2023). Robust framework based on hybrid deep learning approach for short term load forecasting of building electricity demand. Energy, 268, 126660-.Search in Google Scholar
Lipson, Mathew J. Thatcher, MarcusHart, Melissa A. Pitman, Andrew. (2018). A building energy demand and urban land surface model. Quarterly Journal of the Royal Meteorological Society, 144(714aPta1).Search in Google Scholar
Santi, G., Leporelli, E., & Sivo, M. D. (2019). Improving sustainability in architectural research: biopsychosocial requirements in the design of urban spaces. Sustainability, 11.Search in Google Scholar
Niu, J., Tian, Z., & Yue, L. (2020). Robust optimal design of building cooling sources considering the uncertainty and cross-correlation of demand and source. Applied Energy, 265.Search in Google Scholar
Wang, R., Lu, S., & Feng, W. (2020). Impact of adjustment strategies on building design process in different climates oriented by multiple performance. Applied Energy, 266, 114822.Search in Google Scholar
Zhou, Q., Ji, D., Ren, Y., & Tang, H. (2021). Dual-copying mechanism and dynamic emotion dictionary for generating emotional responses. Neurocomputing, 454(3–4).Search in Google Scholar
Sui, Y., Feng, S., Zhang, H., Cao, J., Hu, L., & Zhu, N. (2022). Causality-aware enhanced model for multi-hop question answering over knowledge graphs. Knowledge-based systems.Search in Google Scholar