Special Session on: Advances in Computational Intelligence for applied Time Series Forecasting (ACIATSF)

International Joint Conference on Neural Networks (IJCNN 2020).
19 – 24th July, 2020, Glasgow (UK) 


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 vector 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.


The session seeks to foster the presentation and discussion of innovative techniques, implementations and applications of different problems that are Forecasting involved, especially 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 and Rainfall
  • Impact of Uncertainty on Decision Making
  • Seasonal Adjustment
  • Multivariate Time Series Modelling and Forecasting
  • Marketing Forecasting
  • Economic and Econometric Forecasting


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, dorjuelaco@ieee.org, IEEE CIS, Co-Founder Board of Directors of LA-CIS.

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

dpatino@inaut.unsj.edu.ar. IEEE CIS. 

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

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

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:

Manuscripts should be prepared according to the standard format and page limit of regular papers according to the IEEE format. All submissions should follow the specifications of 2020 WCCI. Manuscripts will be submitted through the 2020 IEEE WCCI  paper submission website and will be subject to the same peer-review procedure as the WCCI regular papers. Accepted contributions will be part of conference proceedings, which will be available in IEEEXplore.

Important Dates

Paper submission due: 15th Jan. 2020

Notification of acceptance: 15th Mar. 2020

Camera-ready deadline: 15th Apr. 2020

Author registration deadline: 15th Apr. 2020

Paper Submission: 


Information about IEEE WCCI 2020: 

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