Anomaly Forecasting
1 papers with code • 0 benchmarks • 1 datasets
Anomaly forecasting is a critical aspect of modern data analysis, where the goal is to predict unusual patterns or behaviors in data sets that deviate from the norm. This process is vital across various fields, such as finance, cybersecurity, healthcare, and manufacturing, to preemptively identify and mitigate potential issues.
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Most implemented papers
AA-Forecast: Anomaly-Aware Forecast for Extreme Events
Moreover, the framework employs a dynamic uncertainty optimization algorithm that reduces the uncertainty of forecasts in an online manner.
