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ITISE 2018: International Conference on Time Series and Forecasting

Special Issue Information

Dear Colleagues,

We cordially invite you to contribute to our Special Issue of Forecasting on the theme of "Time Series and Forecasting".

The main goal of this Special Issue, “Special Issue of ITISE 2018”, is to advance new science and methodologies in the fields of time series and forecasting.

ITISE 2018 (International conference on Time Series and Forecasting) seeks to provide a discussion forum for scientists, engineers, educators and students regarding the latest ideas in the foundations, theory, models and applications of Time Series and Forecasting. This is interdisciplinary research, encompassing the disciplines of computer science, mathematics, statistics, forecaster, econometric, etc., in the field of time series and forecasting.

Topics of interest for this Special Issue include, but are not limited to:

  1. Time Series Analysis and Forecasting
  2. Economic and econometric forecasting
  3. Advanced methods and on-line learning in time series
  4. High Dimension and Complex/Big Data forecasting
  5. Hybrid advanced methodologies with evolutionary computation techniques to improve forecasting accuracy.
  6. Forecasting in real problems (finance, transportation, networks, energy, meteorology, e health, environment, etc.)

Prof. Dr. Ignacio Rojas
Guest Editor

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 250 words) can be sent to the Editorial Office for assessment.

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
  • Forecasting
  • Econometric
  • Forecasting in real problem

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Published Papers

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Forecasting - ISSN 2571-9394