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Indicating which of forecasting models at different aggregation levels has a better forecast quality
Indicating which of forecasting models at different aggregation levels has a better forecast quality
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机译：指示不同聚合级别上的哪个预测模型具有更好的预测质量
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摘要
To perform forecasting, a first data collection having data values at first intervals is received, and a first forecasting model is built based on the first data collection. A second forecasting model is built based on a second data collection having intervals aggregated from intervals of the first data collection, wherein the second forecasting model is at a different aggregation level than the first forecasting model. At least one metric is computed by performing at least one test based on at least one of the first and second data collections to indicate which of the first and second forecasting models has a better forecast quality.
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