Title: An emission reduction prediction method of green building engineering based on time weighting

Authors: Hui-Hua Xiong; Ming Luo

Addresses: School of Architecture and Urban Planning, Hunan City University, Heshan District, Yiyang, Hunan, China ' Department of Architecture and Art, Central South University, Changsha, Hunan, China

Abstract: Aiming at the problems of low accuracy of emission reduction prediction and long time-consuming emission reduction prediction methods of existing green building engineering emission reduction prediction methods, the paper proposes a new time-weighted emission reduction prediction method for green building engineering. First, construct the objective function of the time change of green building emission reduction, and use time weighting to calculate the weight of green building engineering emission reduction forecast. Secondly, the grey model is used to obtain the fitted sequence of emission reductions of green building projects. Finally, the Markov Chain is used to construct the emission reduction prediction function, and the output result of the function is the prediction result. The results of the simulation study show that the prediction accuracy of emission reductions of the method in this paper is maintained above 95%, and the time cost is effectively reduced.

Keywords: time weighting; green building engineering; emission reduction prediction.

DOI: 10.1504/IJGEI.2023.130680

International Journal of Global Energy Issues, 2023 Vol.45 No.3, pp.261 - 272

Received: 30 Dec 2021
Accepted: 01 Jun 2022
Published online: 02 May 2023 *

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