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.
- Econometric forecasting;
- Production forecasting;
- Marketing forecasting;
- New products forecasting;
- Financial forecasting;
- Demand planning, supply chain management;
- Industrial production values forecasting.
- Time series forecasting;
- Big data forecasting;
- Machine learning forecasting;
- Evaluation and implementation of forecasting methods and approaches;
- Hybrid advanced methodologies with evolutionary computation techniques to improve forecasting accuracy;
- Forecasting methods in different time frames;
- Qualitative and quantitative forecasting methods.
Forecasting Applications in Society:
- Demographic forecasting;
- Crime forecasting;
- Legal and political aspects of forecasting;
- Organizational aspects of forecasting;
- Election forecasting;
- Health forecasting;
- Software reliability forecasting;
- Traffic forecasting;
- Tourism forecasting;
- Technological forecasting;
- Forecasting applications in business, government, and the military;
- Seasonal adjustments and forecasting;
- Judgmental/psychological aspects of forecasting;
- Impact of forecast uncertainty on decision making;
- Sport forecasting.
- Atmospheric science forecasting;
- Climate forecasting;
- Earthquake forecasting;
- Hydrological forecasting.
- Natural hazard risk assessment.
- Forecasting of intermittent energy resources;
- Wind and solar power forecasting;
- Forecasting of demand (load) and price of electricity;
- Load and generation forecasting in smart grid and microgrid;
- Forecasting methods in energy planning models.
Forecasting of Remaining Useful Life:
- Forecasting methods for reliability, maintenance and safety;
- Smart device and system reliability;
- Prognostics and system health management;
- Predictive maintenance.
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:
Announcements regarding academic activities such as conferences are published for free in the News & Announcements section of the journal. Advertisement can be either published or placed on the pertinent website. Contact e-mail address is . For further MDPI contacts, see here.
Announcement and Advertisement
Announcements regarding academic activities such as conferences are published for free in the News & Announcements section of the journal. Advertisement can be either published or placed on the pertinent website. Contact e-mail address is .
For further MDPI contacts, see here.