Research on the prediction model of green building carbon emission based on computer big data.

Zheng, Yufeng and Li, Jiaxuan and Wang, Sijie and Ying, Danlei and Chew, Boon Cheong (2024) Research on the prediction model of green building carbon emission based on computer big data. In: 2024 International Conference on Telecommunications and Power Electronics (TELEPE), Frankfurt, Germany.

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Abstract

Abstract—A prototype system for predicting building carbon emissions based on Revit was developed. Then the validity of the proposed algorithm and the established information model is tested. The carbon footprint of the building is estimated to assist in the development of the design plan. This reduces the carbon dioxide emissions of the design plan. The system is divided into four modules: wall performance setting module, hot area utilization information module, energy consumption prediction information screening module and statistical results module. Secondly, the function and interaction of each module are discussed in detail. Construction of carbon emissions from urban buildings - a forecast model for reducing emissions. NSGA-II multi- objective genetic algorithm is applied to the conventional. The BP neural network is modeled and solved. The model is trend of urban buildings under the double targets of carbon emission and carbon reduction.

Item Type:	Conference or Workshop Item (Paper)
Divisions:	Faculty of Technology Management and Technopreneurship
Depositing User:	NURHASHIRAH BORHAN
Date Deposited:	28 Jul 2026 00:58
Last Modified:	28 Jul 2026 00:58
URI:	http://eprints.utem.edu.my/id/eprint/30087
Statistic Details:	View Download Statistic

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