AKOMEA-FRIMPONG I., KUKAH A. S., JIN X., OSEI-KYEI R., PARIAFSAI F., 2022, Green finance for green buildings: A systematic review and conceptual foundation, Journal of Cleaner Production 356: 131869.
DOI: https://doi.org/10.1016/j.jclepro.2022.131869
BADUGE S.K., THILAKARATHNA S., PERERA J.S., ARASHPOUR M., SHARAFI P., TEODOSIO B., SHRINGI A., MENDIS P., 2022, Artificial intelligence and smart vision for building and construction 4.0: Machine and deep learning methods and applications, Automation in Construction 141: 104440.
DOI: https://doi.org/10.1016/j.autcon.2022.104440
BUILTIN, 2022, What is deep learning and how does it work? https://builtin.com/machine-learning/what-is-deep-learning.
CHINESESTANDARD.NET, 2014, Assessment standard for green building, https://www.chinesestandard.net/PDF.aspx/GBT50378-2014.
DING Z., LI Z., FAN C., 2018, Building energy savings: Analysis of research trends based on text min-ing, Automation in Construction 96: 398-410.
DOI: https://doi.org/10.1016/j.autcon.2018.10.008
DOUNIS A.I., 2010, Artificial intelligence for energy conservation in buildings, Advances in Building Energy Research 4(1): 267-299.
DOI: https://doi.org/10.3763/aber.2009.0408
DOWLING R., MCGUIRK P., MAALSEN S., SADOWSKI J., 2021, How smart cities are made: A priori, ad hoc and post hoc drivers of smart city implementation in Sydney, Australia, Urban Studies, 58(16): 3299-3315.
DOI: https://doi.org/10.1177/0042098020986292
GOHARI S., BAER D., NIELSEN B. F., GILCHER E., SITUMORANG W.Z., 2020, Prevailing ap-proaches and practices of citizen participation in smart city projects: Lessons from Trondheim, Nor-way, Infrastructures 5(4): 36.
DOI: https://doi.org/10.3390/infrastructures5040036
IEA, 2019, Global Status Report for Buildings and Construction, https://www.iea.org/reports/global-status-report-for-buildings-and-construction-2019.
JINKANG R., 2019, Environmental impact, significance and development direction of green buildings, Green Building Materials 3: 30-31.
JONBAN M.S., ROMERAL L., AKBARIMAJD A., ALI Z., GHAZIMIRSAEID S.S., MARZBAND M., PUTRUS G., 2021, Autonomous energy management system with self-healing capabilities for green buildings (microgrids), Journal of Building Engineering 34: 101604.
DOI: https://doi.org/10.1016/j.jobe.2020.101604
KARCHES T., 2022, Fine-tuning the aeration control for energy-efficient operation in a small sewage treatment plant by applying biokinetic modeling. Energies 15(17): 6113, https://doi.org/10.3390/en15176113.
DOI: https://doi.org/10.3390/en15176113
KAYA M.M., TAŞKIRAN Y., KANOĞLU A., DEMİRTAŞ A., ZOR E., BURÇAK I., NACAK M.C., AKGÜL F.T., 2021, Designing a smart home management system with artificial intelligence & machine learning, technical report, DOI: 10.13140/RG.2.2.33082.72641/1.
LI Q., LONG R., CHEN H., CHEN F., WANG J., 2020, Visualized analysis of global green buildings: Development, barriers and future directions, Journal of Cleaner Production 245: 118775.
DOI: https://doi.org/10.1016/j.jclepro.2019.118775
LU H., SHENG X., DU F., 2022, Economic benefit evaluation system of green building energy saving building technology based on entropy weight method, Processes 10(2): 382.
DOI: https://doi.org/10.3390/pr10020382
PERSHAKOV V., BIELIATYNSKYI A., POPOVYCH I., LYSNYTSKA K., KRASHENINNIKOV V., 2016, Progressive collapse of high-rise buildings from fire, MATEC Web of Conferences 73: 01001, https://doi.org/10.1051/matecconf/20167301001.
DOI: https://doi.org/10.1051/matecconf/20167301001
SERRANO W., 2022, iBuilding: Artificial intelligence in intelligent buildings, Computing and Applications 34(2): 875-897.
DOI: https://doi.org/10.1007/s00521-021-05967-y
SHAHSAVAR M.M., AKRAMI M., GHEIBI M., KAVIANPOUR B., FATHOLLAHI-FARD A.M., BEHZADIAN K., 2021, Constructing a smart framework for supplying the biogas energy in green build-ings using an integration of response surface methodology, artificial intelligence and petri net modelling, Energy Conversion and Management 248: 114794.
DOI: https://doi.org/10.1016/j.enconman.2021.114794
SHEN Y., FAURE M., 2021, Green building in China, International Environmental Agreements: Poli-tics, Law and Economics 21(2): 183-199.
DOI: https://doi.org/10.1007/s10784-020-09495-3
THORPE D., ENSHASSI A., MOHAMED S., ABUSHABAN S., COURS S., 2010, The impacts of con-struction and the built environment, Willmott Dixon, London.
UN, 2015, UN Sustainability Goals, https://www.home.sandvik/en/about-us/sustainable-business/global-commitments/UN-global-goals-index/?gclid=EAIaIQobChMIibLSzZvO_AIVc0eRBR1WqAeMEAAYASAAEgIDjPD_BwE.
UN, 2020, The Paris Agreement, https://unfccc.int/process-and-meetings/the-paris-agreement/the-paris-agreement.
W, Z., JIANG M., CAI Y., WANG H., LI S., 2019, What hinders the development of green building? An investigation of China, International Journal of Environmental Research and Public Health 16(17): 3140.
DOI: https://doi.org/10.3390/ijerph16173140
WAN Y., ZHAI Y., WANG X., CUI C., 2022, Evaluation of indoor energy-saving optimization design of green buildings based on the intelligent GANN-BIM model, Mathematical Problems in Engineering 1: 10.
DOI: https://doi.org/10.1155/2022/3130512
WANG C., 2021, Evaluation algorithm of ecological energy-saving effect of green buildings based on Gray correlation degree, Journal of Mathematics 1: 10.
DOI: https://doi.org/10.1155/2021/6705220
WANG W., TIAN Z., XI W., TAN Y. R., DENG Y., 2021, The influencing factors of China’s green build-ing development: An analysis using RBF-WINGS method, Building and Environment 188: 107425.
DOI: https://doi.org/10.1016/j.buildenv.2020.107425
WEI Y., 2021, The development of green building technology, IOP Conference Series: Earth and Envi-ronmental Science 812(1): 012011.
DOI: https://doi.org/10.1088/1755-1315/812/1/012011
WORLDGBC.ORG, 2019, About Green Building, https://www.worldgbc.org/what-green-building.
WUNI I. Y., SHEN G. Q., OSEI-KYEI R., 2019, Scientometric review of global research trends on green buildings in construction journals from 1992 to 2018, Energy and Buildings 190: 69-85.
DOI: https://doi.org/10.1016/j.enbuild.2019.02.010
XUE F., ZHAO J., 2021, Application calibration based on energy consumption model in optimal design of green buildings, Advances in Materials Science and Engineering 1: 9.
DOI: https://doi.org/10.1155/2021/5360443
YANG B., LV Z., WANG F., 2022, Digital twins for intelligent green buildings, Buildings 12(6): 856.
DOI: https://doi.org/10.3390/buildings12060856
ZAKHAROV A.N., KALASHNIKOV D.B., 2020, Environmental problems of China’s industrial devel-opment, Russian Foreign Economic Bulletin 1: 40-50.
ZHANG Y., WANG H., GAO W., WANG F., ZHOU N., KAMMEN D., YING X., 2019, A survey of the status and challenges of green building development in various countries, Sustainability 11(19): 5385.
DOI: https://doi.org/10.3390/su11195385
ZHANG Y., WANG J., HU F., WANG Y., 2017, Comparison of evaluation standards for green building in China, Britain, United States, Renewable and Sustainable Energy Reviews 68: 262-271.
DOI: https://doi.org/10.1016/j.rser.2016.09.139
ZHAO X.G., GAO C.P., 2022, Research on energy-saving design method of green building based on BIM technology, Scientific Programming 1: 10.
DOI: https://doi.org/10.1155/2022/2108781