Grey prediction of carbon emission and carbon peak in several developing countries-Reference-Cited by-同舟云学术

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Grey prediction of carbon emission and carbon peak in several developing countries

Published:2024-07 Issue: Volume:133 Page:108210
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Cai Kai^ORCID,Wu Lifeng

Funder

NSFC

Publisher

Elsevier BV

Reference48 articles.

1. Renewable energies generation and carbon dioxide emission forecasting in microgrids and national grids using GRNN-GWO methodology;Azim;Energy Proc.,2019

2. Prediction of rural domestic water and sewage production based on automated machine learning in northern China;Cao;J. Clean. Prod.,2024

3. Analyzing the carbon emission effect and systematic emission reduction mechanism of the Sino-USA manufacturing trade;Chen;J. Environ. Manag.,2023

4. Forecasting the sales and stock of electric vehicles using a novel self-adaptive optimized grey model;Ding;Eng. Appl. Artif. Intell.,2021

5. A novel grey multi-criteria three-way decisions model and its application;Du;Comput. Ind. Eng.,2021

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1. Multi-step carbon emissions forecasting using an interpretable framework of new data preprocessing techniques and improved grey multivariable convolution model;Technological Forecasting and Social Change;2024-11

2. A novel federated learning-based two-stage approach for ship energy consumption optimization considering both shipping data security and statistical heterogeneity;Energy;2024-11

3. Analysis of carbon peak achievement at the provincial level in China: Construction of ensemble prediction models and Monte Carlo simulation;Sustainable Production and Consumption;2024-10

4. Navigating urban sustainable development: Exploring the impact of low carbon policies on the urban ecological carrying capacity;Journal of Cleaner Production;2024-09

5. An Effective Prediction Method for Supporting Decision Making in Real Estate Area Selection;Journal of Computer and Communications;2024

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