Special Issue "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: 15 February 2023 | Viewed by 43

Special Issue Editors

Prof. Dr. Ignacio Rojas
E-Mail Website
Guest Editor
Department of Computer Architecture and Computer Technology, Higher Technical School of Information Technology and Telecommunications Engineering, CITIC-UGR, University of Granada, 18011 Granada, Spain
Interests: time series; forecasting; complex systems; bioinformatics
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Luis Javier Herrera
E-Mail Website
Guest Editor
Department of Computer Architecture and Computer Technology, Higher Technical School of Information Technology and Telecommunications Engineering, CITIC-UGR, University of Granada, 18011 Granada, Spain
Interests: time series; forecasting; complex systems; bioinformatics
Prof. Dr. Hector Pomares
E-Mail Website
Guest Editor
Department of Computer Architecture and Computer Technology, Higher Technical School of Information Technology and Telecommunications Engineering, CITIC-UGR, University of Granada, 18011 Granada, Spain
Interests: time series; forecasting; complex systems; HPC
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Olga Valenzuela
E-Mail Website
Guest Editor
Department Applied Mathematics, Faculty of Science, University of Granada, 18011 Granada, Spain
Interests: time series; forecasting; complex systems; statistical analysis

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 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.

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

Published Papers

This special issue is now open for submission.
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