Research map / Probabilistic and scientific modeling / Dynamical systems
Transferring Decomposed Tensors for Scalable Energy Breakdown Across Regions
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| transfer the appliance factor from source region instead of MF baselines | TTF · Dataport Austin to San Diego | Weighted PEC | Helped |
| transfer the appliance factor from source region instead of normal learning with the target data only | TTF · Dataport Austin to San Diego | Weighted PEC | Mixed |
| use TTF instead of STF in single-region normal learning (ablation) | tensor factorisation · Dataport Austin to San Diego | Weighted PEC | Hurt |
| use TTF transfer instead of baselines for San Diego to Austin | TTF · Dataport San Diego to Austin | Weighted PEC | Helped |
| transfer learned appliance-season factor in MF | MF · Dataport Austin to San Diego | Weighted PEC | No clear effect |
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