Hierarchical forecasting with a top-down alignment of independent-level forecasts

Forecast with forecasts: Diversity matters

(2021) Yanfei Kang et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

The M5 uncertainty competition: Results, findings and conclusions

(2021) Spyros Makridakis et al.   INTERNATIONAL JOURNAL OF FORECASTING

Elucidate structure in intermittent demand series

(2020) Nikolaos Kourentzes et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Optimal forecast reconciliation for hierarchical and grouped time series through trace minimization

(2018) Shanika L Wickramasuriya et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Intermittent demand forecasts with neural networks

(2013) Nikolaos Kourentzes   INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS

An aggregate–disaggregate intermittent demand approach (ADIDA) to forecasting: an empirical proposition and analysis

(2010) K Nikolopoulos et al.   JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY

Lumpy demand forecasting using neural networks

(2007) Rafael S. Gutierrez et al.   INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS