Mathematical and Statistical Models for Energy with Applications
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "C: Energy Economics and Policy".
Deadline for manuscript submissions: closed (31 December 2020) | Viewed by 30640
Special Issue Editors
2. Department of Medical Research, China Medical University Hospital, Taichung City 40447, Taiwan
3. Department of Economics and Finance, The Hang Seng University of Hong Kong, Hong Kong, China
Interests: behavioral models; mathematical modeling; econometrics; energy economics; equity analysis; investment theory; risk management; behavioral economics; operational research; decision theory; environmental economics; public health; time series analysis; forecasting
Special Issues, Collections and Topics in MDPI journals
Interests: energy; mathamatical modelling; energy finance; energy pricing; carbon pricing; time series analysis; forecasting
Special Issues, Collections and Topics in MDPI journals
Interests: sustainability; SDGs; resource economics; environment and energy economics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue aims to consider research on Mathematical and Statistical Models with applications on following, but not limited to, topics as research issues:
(i) Domestic and international pricing of energy sources, such as oil, coal, gas and nuclear, hydrogen, wind, etc.;
(ii) Modeling domestic and international carbon emissions prices;
(iii) Modeling of financial returns and volatility of energy and natural resources;
(iv) Analyzing the forecasting performance of energy commodities, natural resources, and carbon emissions;
(v) Analyzing the usefulness of inclusion of energy commodities, natural resources, and carbon emissions as financial commodities in financial portfolios and optimal hedging (or insurance) of financial portfolios;
(vi) Impacts on the environment and sustainability of pricing carbon emissions;
(vii) Impacts on the health and agriculture sectors of (pricing) carbon emissions.
For example, authors could provide statistically valid prices for energy commodities, natural resources, and carbon emissions using robust modeling techniques. Furthermore, authors could also explore financial returns, and volatility of energy commodities, natural resources, and carbon emissions. Researchers are also encouraged to consider the energy commodities, natural resources, and carbon emissions as financial commodities in financial portfolios and in optimal hedging (or insurance) of financial portfolios; evaluate the impacts on the environment and sustainability of pricing energy commodities, natural resources, and carbon emissions; and evaluate the effects on health and agriculture costs of pricing carbon emissions, etc.
We invite investigators to contribute original research articles that advance the use of mathematics, probability, and statistics in the areas of Energy and Natural Resources with applications. All submissions must contain original unpublished work not being considered for publication elsewhere.
Prof. Dr. Wing-Keung Wong
Prof. Dr. Faridul Islam
Dr. Aviral Kumar Tiwari
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 submissions that pass pre-check are 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. Energies is an international peer-reviewed open access semimonthly 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 2600 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.
Keywords
- mathematics
- probability
- statistics
- energy
- applications
- energy commodities
- natural resources
- carbon emissions
- mathematical modeling
- volatility modeling
- dependence modeling
- risk and portfolio modeling
- forecasting
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