1. The 8th International Conference on Time Series and Forecasting.
- Author
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Rojas, Ignacio, Herrera, Luis, Kaufman, Peter, Pomares, Hector, Rojas, Fernando, Rojas, Ignacio, and Valenzuela, Olga
- Subjects
Computer science ,Information technology industries ,: financial market volatility ,ARIMA ,CNN ,COVID-19 ,DCCA method ,K-Means ,K-mean clustering ,LSTM ,Markov chain ,NARNN ,VAR-DCC-GARCH ,accessibility ,all sky images ,anomaly detection ,cloud-base height ,clustering ,convolutional neural network ,cross-correlation ,diagnosis ,dynamic convergence ,dynamic mode decomposition with control ,ecosystem respiration ,energy ,error diagnosis ,faults ,forecasting ,health forecasting ,hydrological data ,intensive care unit (ICU) ,longshort-term memory (LSTM) ,machine learning ,machine learning (ML) ,machinelearning ,mobile data traffic ,model evaluation ,multivariate prediction ,non-stationary time series ,oil derivatives ,oil production ,ordinal patterns ,outlier detection ,outlier detection in time series ,prediction ,prediction intervals ,predictive maintenance ,privacy ,readmission prediction ,recurrent neural network (RNN) ,retainability ,seq2seq ,shareable data ,signal processing ,spatial ,spectrum ,stationarity ,structural breaks ,synthetic data ,temporal ,time delay embedding ,time series ,time series analysis ,time series cluster evaluation ,time series clustering ,time series data ,time series forecasting ,time-series ,time-series forecasting ,unit root ,utilization ,wavelet-based random forest ,PV systems ,automated machine learning - Abstract
Summary: The aim of ITISE 2022 is to create a friendly environment that could lead to the establishment or strengthening of scientific collaborations and exchanges among attendees. Therefore, ITISE 2022 is soliciting high-quality original research papers (including significant works-in-progress) on any aspect time series analysis and forecasting, in order to motivating the generation and use of new knowledge, computational techniques and methods on forecasting in a wide range of fields.