The chapters in this volume stress the need for advances in theoretical understanding to go
hand-in-hand with the widespread practical application of forecasting in industry. Forecasting
and time series prediction have enjoyed considerable attention over the last few decades
fostered by impressive advances in observational capabilities and measurement procedures. On
June 5-7 2013 an international Workshop on Industry Practices for Forecasting was held in
Paris France organized and supported by the OSIRIS Department of Electricité de France
Research and Development Division. In keeping with tradition both theoretical statistical
results and practical contributions on this active field of statistical research and on
forecasting issues in a rapidly evolving industrial environment are presented. The volume
reflects the broad spectrum of the conference including 16 articles contributed by specialists
in various areas. The material compiled is broad in scope and ranges from new findings on
forecasting in industry and in time series on nonparametric and functional methods and on
on-line machine learning for forecasting to the latest developments in tools for high
dimension and complex data analysis.
