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On the disagreement of forecasting model selection criteria
Forecasters have been using various criteria to select the most appropriate model from a pool of candidate models. This includes measurements on the in-sample accuracy of the models, information criteria, and cross-validation...
M4 competition Exponential smoothing information criteria model selection time series /dk/atira/pure/subjectarea/asjc/1800/1801 name=Decision Sciences (miscellaneous) /dk/atira/pure/subjectarea/asjc/2000/2001 name=Economics, Econometrics and Finance (miscellaneous) /dk/atira/pure/subjectarea/asjc/1700/1706 name=Computer Science Applications /dk/atira/pure/subjectarea/asjc/1700/1703 name=Computational Theory and Mathematics
COVID-19
Forecasting the outcome of outbreaks as early and as accurately as possible is crucial for decision-making and policy implementations. A significant challenge faced by forecasters is that not all outbreaks and epidemics turn...
Cross-temporal aggregation
Achieving high accuracy in energy consumption forecasting is critical for improving energy management and planning. However, this requires the selection of appropriate forecasting models, able to capture the individual...
Electricity consumption Exponential smoothing hierarchical forecasting Seasonality shrinkage Temporal aggregation sustainability /dk/atira/pure/subjectarea/asjc/2200/2215 name=Building and Construction /dk/atira/pure/subjectarea/asjc/2100/2100 name=General Energy /dk/atira/pure/subjectarea/asjc/2200/2210 name=Mechanical Engineering /dk/atira/pure/subjectarea/asjc/2300/2308 name=Management, Monitoring, Policy and Law /dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy name=SDG 7 - Affordable and Clean Energy
On the disagreement of forecasting model selection criteria
Forecasters have been using various criteria to select the most appropriate model from a pool of candidate models. This includes measurements on the in-sample accuracy of the models, information criteria, and cross-validation...
M4 competition Exponential smoothing information criteria model selection time series /dk/atira/pure/subjectarea/asjc/1800/1801 name=Decision Sciences (miscellaneous) /dk/atira/pure/subjectarea/asjc/2000/2001 name=Economics, Econometrics and Finance (miscellaneous) /dk/atira/pure/subjectarea/asjc/1700/1706 name=Computer Science Applications /dk/atira/pure/subjectarea/asjc/1700/1703 name=Computational Theory and Mathematics
Cross-temporal aggregation
Achieving high accuracy in energy consumption forecasting is critical for improving energy management and planning. However, this requires the selection of appropriate forecasting models, able to capture the individual...
Electricity consumption Exponential smoothing hierarchical forecasting Seasonality shrinkage Temporal aggregation sustainability /dk/atira/pure/subjectarea/asjc/2200/2215 name=Building and Construction /dk/atira/pure/subjectarea/asjc/2100/2100 name=General Energy /dk/atira/pure/subjectarea/asjc/2200/2210 name=Mechanical Engineering /dk/atira/pure/subjectarea/asjc/2300/2308 name=Management, Monitoring, Policy and Law /dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy name=SDG 7 - Affordable and Clean Energy
COVID-19
Forecasting the outcome of outbreaks as early and as accurately as possible is crucial for decision-making and policy implementations. A significant challenge faced by forecasters is that not all outbreaks and epidemics turn...