Forecasting (ISSN 2571-9394) is an international, peer-reviewed open access journal, which provides an advanced forum for studies related to forecasting: theoretical, practical, computational and methodological. It publishes regular research papers, communications, letters, short notes and reviews.
Our aim is to encourage researchers to publish their experimental, theoretical and computational results in as much detail as necessary. There is no restriction on paper length or number of figures and tables.
- Methodology of forecasting
- Forecasting Complex/Big data
- Application of forecasting in different areas including (but not limited to):
- Atmospheric science forecasting
- Climate forecasting
- Economic and econometric forecasting
- Demand Planning, supply chain management
- Energy forecasting
- Hydrological forecasting
- Health forecasting
- Industrial production values forecasting
- Marketing forecasting
- Software reliability forecasting
- Traffic forecasting
- Tourism forecasting
- Evaluation and implementation of forecasting methods and approaches
- Hybrid advanced methodologies with evolutionary computation techniques to improve forecasting accuracy
- Limitations of forecasting
MDPI Publication Ethics Statement
Forecasting is a member of the Committee on Publication Ethics (COPE). MDPI takes the responsibility to enforce a rigorous peer-review together with strict ethical policies and standards to ensure to add high quality scientific works to the field of scholarly publication. Unfortunately, cases of plagiarism, data falsification, inappropriate authorship credit, and the like, do arise. MDPI takes such publishing ethics issues very seriously and our editors are trained to proceed in such cases with a zero tolerance policy. To verify the originality of content submitted to our journals, we use iThenticate to check submissions against previous publications. MDPI works with Publons to provide reviewers with credit for their work.
Authors and publishers are encouraged to send review copies of their recent related books to the following address. Received books will be listed as Books Received within the journal's News & Announcements section.
Copyright / Open Access
Articles published in Forecasting will be Open-Access articles distributed under the terms and conditions of the Creative Commons Attribution License (CC BY). The copyright is retained by the author(s). MDPI will insert the following note at the end of the published text:
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