Determining China's CO2 emissions peak with a dynamic nonlinear artificial neural network approach and scenario analysis-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Determining China's CO2 emissions peak with a dynamic nonlinear artificial neural network approach and scenario analysis

Published:2019-05 Issue: Volume:128 Page:752-762
ISSN:0301-4215
Container-title:Energy Policy
language:en
Short-container-title:Energy Policy

Author:

Xu Guangyue,Schwarz Peter,Yang Hualiu

Funder

National Social Science Fund of China

China Postdoctoral Science Foundation

China Statistical Research

Henan Provincial Department of Science and Technology

Henan Provincial Colleges and Universities

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,General Energy

Reference56 articles.

1. Multi-step ahead forecasts for electricity prices using NARX: a new approach, a critical analysis of one-step ahead forecasts;Andalibab;Energy Convers. Manag.,2009

2. Forecasting the path of China's CO2 emissions using province-level information;Auffhammer;J. Environ. Econ. Manag.,2008

3. CO2 emissions: a quantitative analysis among the BRICS nations;Azevedo;Renew. Sustain. Energy Rev.,2018

4. Modeling carbon emission peaking pathways in China based on integrated assessment model IAMC;Chai;China Popul., Resour. Environ.,2015

5. An empirical study on China's energy supply-and-demand model considering carbon emission peak constraints in 2030;Chen;Engineering,2017

Cited by 137 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Greenhouse gas emission prediction and impact analysis of dual-fuel engine;Process Safety and Environmental Protection;2024-11

2. Possibility and pathways of China's nonferrous metals industry to achieve its carbon peak target before 2030: A new integrated dynamic forecasting model;Energy;2024-10

3. How to achieve the synergic emission abatement of volatile organic compounds and carbon dioxide in China: Socio-economic drivers and prospective trends;Environmental Impact Assessment Review;2024-09

4. Forecasting China's agricultural carbon emissions: A comparative study based on deep learning models;Ecological Informatics;2024-09

5. Timely achievement of carbon peak for China: evidence from major energy-consuming industries;Environment, Development and Sustainability;2024-08-30

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3