Special Issue "Advanced Intelligent Forecasting Technologies in Carbon Emission Reduction and Air Quality Improvement"

A special issue of Forecasting (ISSN 2571-9394). This special issue belongs to the section "Environmental Forecasting".

Deadline for manuscript submissions: closed (30 December 2021).

Special Issue Editors

Prof. Dr. Claudio Carnevale
E-Mail Website
Guest Editor
DIMI-Sede Branze via Branze, University of Brescia, 3825121 Brescia, Italy
Interests: control systems; air quality management; air quality planning; nonlinear modelling; uncertainty analysis
Special Issues, Collections and Topics in MDPI journals
Dr. Keke Wang
E-Mail Website
Guest Editor
School of Economics and Management, North China Electric Power University, Beijing, China
Interests: energy forecasting; intelligent algorithm; carbon policy; carbon absorption potential analysis; technical and economic evaluation
Dr. Xiaolong Yang
E-Mail Website
Guest Editor
School of Economics and Management, Northeast Electric Power University, Beijing, China
Interests: sustainability assessment; environmental quality; carbon emission reduction; load forecasting; technical and economic evaluation

Special Issue Information

Dear Colleagues,

The issue of climate warming has become the most serious global environmental problem, and extreme weather phenomena such as drought, heat waves, melting ice, and rising sea levels will continue to emerge as surface temperatures rise. “The fifth climate change assessment report” mentions that multiple mitigation approaches can lead to significant reductions in the coming decades, limiting the temperature rise to 2 °C. Since the industrial revolution, in order to promote the economic and social development, people have consumed a large amount of fossil energy, resulting in the continuous accumulation of pollutants and carbon dioxide emissions, which significantly increased the concentration of carbon dioxide based greenhouse gases and decreased the air quality. Faced with the increasingly severe resource shortage and severe environmental challenges, countries should strengthen the implementation of carbon emission reduction policies and continue to implement air pollution prevention and control actions, so as to ensure people's happy life and realize sustainable development of human and society.Recently, due to the great development of advanced intelligent computing technologies (e.g., quantum computing, chaotic mapping mechanism, cloud mapping mechanism, seasonal mechanism, etc.), many novel hybridized or combined with the carbon emission forecasting and low-carbon economy planning models mentioned above are received many attentions. It is deserved to explore the tendency and development of the modeling methodology by applying these advanced intelligent forecasting technologies.Manuscripts on all aspects of carbon emission forecasting and air quality forecasting with innovative technologies are welcome for this Special Issue.

Prof. Dr. Yi Liang
Prof. Dr. Claudio Carnevale
Dr. Keke Wang
Dr. Xiaolong Yang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Forecasting is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • Carbon emission
  • Air quality
  • Support vector machine
  • Artificial neural network
  • Cluster intelligence algorithm

Published Papers

There is no accepted submissions to this special issue at this moment.
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