Springer Time Series Analysis and Forecasting ITISE 2017 - Springer

This peer-reviewed collection gathers selected contributions from the International Work-Conference on Time Series held in Granada, Spain in September 2017. The book explores cutting-edge research across time series analysis and forecasting, covering advanced mathematical methodology, computational intelligence approaches, dimensionality reduction techniques, similarity measures, econometric models, and energy forecasting applications. Contributors address real-world forecasting challenges, online learning methods, and strategies for handling high-dimensional and complex big data time series. Published by Springer, this volume represents current developments in the field and serves researchers, practitioners, and students seeking to understand modern time series methodologies and their practical applications across economics, finance, and energy sectors.