New Advances in Time Series and Forecasting
A special issue of Forecasting (ISSN 2571-9394). This special issue belongs to the section "Forecasting in Computer Science".
Deadline for manuscript submissions: closed (15 February 2023) | Viewed by 6089
Special Issue Editors
Interests: time series analysis; forecasting; artificial intelligence; biomedical engineering; complex problems
Special Issues, Collections and Topics in MDPI journals
Interests: time series; forecasting; complex systems; bioinformatics
Interests: time series; forecasting; complex systems; HPC
Special Issues, Collections and Topics in MDPI journals
Interests: deep learning; statistical analysis in big data; machine learning algorithms; data mining; bioinformatics; computational biology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
For this Special Issue of Forecasting, we are soliciting high-quality original research papers on any aspect of time series analysis and forecasting, with the aim of motivating the generation and use of knowledge and new computational techniques and methods on forecasting in a wide range of fields. The topics of interest include but are not limited to:
- Time series analysis and forecasting
- Econometrics and forecasting
- Advanced methods and online learning in time series
- High dimensional and complex/big data
- Forecasting in real problems
Prof. Dr. Ignacio Rojas
Prof. Dr. Luis Javier Herrera
Prof. Dr. Hector Pomares
Prof. Dr. Olga Valenzuela
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. 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 1800 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
- time series analysis and forecasting
- econometrics and forecasting
- advanced methods and online learning in time series
- high dimensional and complex/big data
- forecasting in real problems
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