jaimeperezsanchez/GAN_Scenario_Forecasting
Data augmentation through multivariate scenario forecasting in Data Centers using Generative Adversarial Networks
This tool helps data center managers and operations engineers generate realistic future scenarios for their data center's operational metrics, even when they don't have enough historical data. It takes your existing operational time-series data (like power consumption or server load) and produces synthetic, yet plausible, future data sequences. This allows you to test operational strategies or predict resource needs under various conditions.
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Use this if you need to create more diverse and extensive simulated operational data for data centers to improve forecasting or test different management strategies.
Not ideal if you need to forecast individual point predictions or if your operational data is not in a time-series format.
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Last pushed
May 09, 2022
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