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ITISE 2022 : 8th International conference on Time Series and Forecasting


When Jun 27, 2022 - Jun 30, 2022
Where Gran Canaria, Spain
Submission Deadline Jan 25, 2022
Notification Due Apr 27, 2022
Final Version Due May 25, 2022
Categories    time series analysis   ensemble forecasting   econometric forecasting   hierarchical forecasting

Call For Papers

The ITISE 2022 (8th International conference on Time Series and Forecasting) seeks to provide a discussion forum for scientists, engineers, educators and students about the latest ideas and realizations in the foundations, theory, models and applications for interdisciplinary and multidisciplinary research encompassing disciplines of computer science, mathematics, statistics, forecaster, econometric, etc, in the field of time series analysis and forecasting.

The aims of ITISE 2022 is to create a a friendly environment that could lead to the establishment or strengthening of scientific collaborations and exchanges among attendees, and therefore, ITISE 2022 solicits high-quality original research papers (including significant work-in-progress) on any aspect time series analysis and forecasting, in order to motivating the generation, and use of knowledge and new computational techniques and methods on forecasting in a wide range of fields.

Submission of Special Session proposals: January 4th, 2022.
Submission of abstract or papers by authors: January 25th, 2022.
Notification of provisional acceptance: April 27th, 2022.
Early Registration: May 25th, 2022.
ITISE CONFERENCE: June 27th-30th, 2022.

Conference Topics
Time Series Analysis and Forecasting
Nonparametric and functional methods
Vector processes
Probabilistic approaches to modeling macroeconomic uncertainties
Uncertainties in forecasting processes
Forecasting with Many Models. Model integration
Forecasting theory and adjustment
Ensemble forecasting
Forecasting performance evaluation
Interval forecasting
Data preprocessing methods: Data decomposition, seasonal adjustment, singular
spectrum analysis, detrending methods, etc.

Econometrics and Forecasting
Econometric models
Economic and econometric forecasting
Real macroeconomic monitoring and forecasting
Advanced econometric methods

Advanced methods and on-line learning in time series
Adaptivity for stochastic models
On-line machine learning for forecasting
Aggregation of predictors
Hierarchical forecasting
Forecasting with computational intelligence
Time series analysis with computational intelligence
Integration of system dynamics and forecasting models

High Dimension and Complex/Big Data
Local versus global forecasts
Dimension reduction techniques
Forecasting Complex/Big data

Forecasting in real problems
Health forecasting
Atmospheric science forecasting
Telecommunication forecasting
Hydrological forecasting
Traffic forecasting
Tourism forecasting
Marketing forecasting
Modelling and forecasting in power markets
Energy forecasting
Climate forecasting
Financial forecasting and risk analysis
Forecasting electricity load and prices
Forecasting and planning systems
Applications in real problem (finance, transportation, networks, meteorology, ehealth, environment, etc).

Related Resources

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Edited Book in Springer-Verlag 2022   Call for Book Chapters-Machine Learning and Deep Learning for Time Series Processing and Analysis
MSA 2021   Multivariate Statistical Analysis
NCAA 2022   Topical Collection on Deep Learning for Time Series Data for Neural Computing and Applications
ML4ITS 2021   1st International Workshop on Machine Learning for Irregular Time Series
AALTD@ECML 2021   6th ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data
IEEE SSCI 2021   2021 IEEE Symposium Series on Computational Intelligence
IEEE SSCI 2023   2023 IEEE Symposium Series on Computational Intelligence
CIFEr 2022   IEEE Computational Intelligence for Financial Engineering and Economics
RTAS 2022   28th IEEE Real Time Technology and Applications Symposium