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watts
mit-dailab/watts
watts is a machine learning model from mit-dailab. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
This repo contains pretrained checkpoints from the Watts model series, developed using the Cents library and trained on the PecanStreet dataset.
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Updated Jul 28, 2025
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At a glance
- License
- mit
- Access
- Public
- Created
- Jul 28, 2025
- Updated
- Jul 28, 2025
- SHA
- 9ebe107b
Model card
From the Hugging Face model README
Watts: Pretrained Models for Synthetic Energy Time Series Generation
This repo contains pretrained checkpoints from the Watts model series, developed using the Cents library and trained on the PecanStreet dataset.
Watts models are designed to generate household-level electricity time series data—either for consumption only or combined with generation.
⚡ Available Models
| Model Name | Model Backbone | Description |
|---|---|---|
| Watts_1_1D | ACGAN | Fast generation of 1D synthetic consumption data via single forward pass. |
| Watts_1_2D | ACGAN | Fast generation of 2D synthetic consumption and generation data via single forward pass. |
| Watts_2_1D | Diffusion-TS | Slower, diffusion-based generation of higher fidelity 1D consumption data. |
| Watts_2_2D | Diffusion-TS | Slower, diffusion-based generation of higher fidelity 2D consumption + generation data. |
MIT License
- License
- mit
- Created
- Jul 28, 2025
- Updated
- Jul 28, 2025