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Multiple Temporal Aggregation for Forecasting

Project: Research

Description

Multiple Temporal Aggregation (MTA) helps augment time series forecasting by drawing from multiple temporal aggregation views of a time series to produce a composite forecast. The key advantages are mitigating modelling uncertainty and more reliable long-term predictions.
AcronymMTA
StatusActive
Effective start/end date1/10/13 → …

Research outputs