Highlights • Our simple approach relies on very few parameters and minimal assumptions• Subjective choice of best training period improved forecasts• Despites its simplicity, our model forecasted well under a… Click to show full abstract
Highlights • Our simple approach relies on very few parameters and minimal assumptions• Subjective choice of best training period improved forecasts• Despites its simplicity, our model forecasted well under a range scenarios.• This approach can be a natural 'null model' for comparison with methods.
               
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