7th International conference on Time Series and Forecasting

Special Session on:

Computational Intelligence for Applied Time Series Forecasting in Complex Systems (CIATSFCS)

7th International conference on Time Series and Forecasting
September 9th-11th, Gran Canaria, Spain

Motivation

Over the past few decades, application of simple statistical procedures with considerable heuristic or judgmental input was the beginning of forecasting, then in the 80’s, sophisticated time series models started to be used by some of the dynamic system operators, and these approaches, were to become pioneering works in this field.

Soft computing methods including support vectors regression (SVR), fuzzy inference system (FIS) and artificial neural networks (ANN) to time-series forecasting (TSF) has been growing rapidly in order to unify the field of forecasting and to bridge the gap between theory and practice, making forecasting useful and relevant for decision-making in many fields of the sciences.

The purpose of this session is to hold smaller, informal meetings where experts in a particular field of forecasting can discuss forecasting problems, research, and solutions in the field of automatic control. There is generally a nominal registration fee associated with attendance.

This session aims to debate in finding solutions for problems facing the field of forecasting. We wish to hear from people working in different research areas, practitioners, professionals and academicians involved in this problematic.

Scope

The session seeks to foster the presentation and discussion of innovative techniques, implementations and applications of different problems that are Forecasting involved, specially in real-world problems applied to control and automation.

  • Time Series Analysis
  • Time Series Forecasting
  • Evaluation of Forecasting Methods and Approaches
  • Forecasting Applications in Business, Energy and Price Demand, Hydrology, etc.
  • Impact of Uncertainty on Decision Making
  • Seasonal Adjustment
  • Multivariate Time Series Modelling and Forecasting
  • Marketing Forecasting
  • Economic and Econometric Forecasting

Organizers:

Prof. Cristian Rodriguez Rivero, University of Amsterdam, c.m.rodriguezrivero@uva.nl, IEEE CIS, Co-Founder LA-CIS.

Prof. Alvaro Orjuela Cañón, Universidad del Rosario, dorjuela@ieee.org, IEEE CIS, Co-Founder Board of Directors of LA-CIS.

Prof. Héctor Daniel Patiño, Universidad Nacional de San Juan, Argentina,

dpatino@inaut.unsj.edu.ar. IEEE CIS.

Prof. Julián Antonio Pucheta, Universidad Nacional de Córdoba, Argentina, jpucheta@unc.edu.ar.

Prof. Gustavo Juarez, Universidad Nacional de Tucumán, Argentina,

juarez.gustavo@ieee.org, IEEE CIS.

Prof. Leonardo Franco, School of  Engineering in Informatics, University of Malaga, Spain. lfranco@lcc.uma.es. IEEE CIS.

Submission guidelines and special issue: http://itise.ugr.es/submissions.php

Manuscripts should be prepared according to Full papers should contain 10-12 pages in its final version according to the Lecture Notes in Computer Science (LNCS) format of Springer-Verlag format. Extraordinarily, other two additional pages could be considered with a supplementary fee.

Templates for full papers are provided in LaTeX and Microsoft Word formats. Please, read carefully guidelines and instructions for authors that are included at Springer site. Authors must strictly follow the provided format to submit their contributions.

Important Dates

Submission of papers/abstract by authors: May 28th, 2020

Please, if you have problem with these deadline, contact to: ITISE@ugr.es

Notification of provisional acceptance: July 10th, 2020.

Submission of final accepted contributions: July 25th, 2020

Early Registration: July 14th, 2020.

Paper Submission:

https://easychair.org/my/conference?conf=itise2020#

Selection of accepted full papers will be published at Contribution to Statistics (Springer)

Information about ITISE 2020:

http://itise.ugr.es/

We look forward to receiving your high-quality submissions!!

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2020 Desarrollado por Centro de Cómputos Facultad de Ciencias Exactas, Físicas y Naturales