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

Hui-Hua Xiong and Ming Luo

International Journal of Global Energy Issues, 2023, vol. 45, issue 3, 261-272

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. (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=130680 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijgeni:v:45:y:2023:i:3:p:261-272

Access Statistics for this article

More articles in International Journal of Global Energy Issues from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().