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Forecast with Forecasts: Diversity Matters
v1v2v3 (latest)

Forecast with Forecasts: Diversity Matters

European Journal of Operational Research (EJOR), 2020
3 December 2020
Yanfei Kang
Wei Cao
F. Petropoulos
Feng Li
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Forecast with Forecasts: Diversity Matters"

10 / 10 papers shown
Combining Forecasts using Meta-Learning: A Comparative Study for Complex Seasonality
Combining Forecasts using Meta-Learning: A Comparative Study for Complex SeasonalityInternational Conference on Data Science and Advanced Analytics (DSAA), 2023
Grzegorz Dudek
AI4TS
184
1
0
11 Apr 2025
Forecast Linear Augmented Projection (FLAP): A free lunch to reduce
  forecast error variance
Forecast Linear Augmented Projection (FLAP): A free lunch to reduce forecast error variance
Yangzhuoran Fin Yang
George Athanasopoulos
Rob J. Hyndman
Anastasios Panagiotelis
143
2
0
02 Jul 2024
Stacking for Probabilistic Short-term Load Forecasting
Stacking for Probabilistic Short-term Load Forecasting
Grzegorz Dudek
AI4TS
253
5
0
15 Jun 2024
Optimizing accuracy and diversity: a multi-task approach to forecast
  combinations
Optimizing accuracy and diversity: a multi-task approach to forecast combinations
Giovanni Felici
A. M. Sudoso
182
0
0
31 Oct 2023
Forecasting large collections of time series: feature-based methods
Forecasting large collections of time series: feature-based methods
Li Li
Feng Li
Yanfei Kang
AI4TS
243
2
0
25 Sep 2023
Another look at forecast trimming for combinations: robustness, accuracy
  and diversity
Another look at forecast trimming for combinations: robustness, accuracy and diversity
Xiaoqian Wang
Yanfei Kang
Feng Li
175
5
0
30 Jul 2022
Forecast combinations: an over 50-year review
Forecast combinations: an over 50-year reviewInternational Journal of Forecasting (IJF), 2022
Xiaoqian Wang
Rob J. Hyndman
Feng Li
Yanfei Kang
AI4TS
256
229
0
09 May 2022
Feature-based intermittent demand forecast combinations: bias, accuracy
  and inventory implications
Feature-based intermittent demand forecast combinations: bias, accuracy and inventory implicationsInternational Journal of Production Research (IJPR), 2022
Li Li
Yanfei Kang
F. Petropoulos
Feng Li
272
18
0
18 Apr 2022
Bayesian forecast combination using time-varying features
Bayesian forecast combination using time-varying featuresInternational Journal of Forecasting (IJF), 2021
Li Li
Yanfei Kang
Feng Li
AI4TS
230
21
0
04 Aug 2021
Hierarchical forecasting with a top-down alignment of independent level
  forecasts
Hierarchical forecasting with a top-down alignment of independent level forecastsInternational Journal of Forecasting (IJF), 2021
Matthias Anderer
Feng Li
AI4TS
211
19
0
15 Mar 2021
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