Openclimatefix
Rank:Average Model Cost: $0.0000
Number of Runs: 19,540
Models by this creator
nowcasting_cnn_v5
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14.9K
Huggingface
pvnet_v2
pvnet_v2
PVNet2 Model Description This model class uses satellite data, numericl weather predictions, and recent Grid Service Point( GSP) PV power output to forecast the near-term (~8 hours) PV power output at all GSPs. More information can be found in the model repo [1] and experimental notes in this google doc. Developed by: openclimatefix Model type: Fusion model Language(s) (NLP): en License: mit Training Details Data The model is trained on data from 2017-2020 and validated on data from 2021. See experimental notes in the the google doc for more details. Preprocessing Data is prepared with the ocf_datapipes.training.pvnet datapipe [2]. Results The training logs for the current model can be found here on wandb. The training logs for all model runs of PVNet2 can be found here. Some experimental notes can be found at in the google doc Hardware Trained on a single NVIDIA Tesla T4 Software [1] https://github.com/openclimatefix/PVNet [2] https://github.com/openclimatefix/ocf_datapipes
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4.4K
Huggingface
metnet
$-/run
81
Huggingface
metnet-2
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70
Huggingface
dgmr
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31
Huggingface
dgmr-context-conditioning-stack
dgmr-context-conditioning-stack
Platform did not provide a description for this model.
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19
Huggingface
dgmr-latent-conditioning-stack
dgmr-latent-conditioning-stack
Platform did not provide a description for this model.
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19
Huggingface
dgmr-sampler
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17
Huggingface
dgmr-discriminator
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15
Huggingface
metnet-uk-eumetsat-hrv-sun-256
metnet-uk-eumetsat-hrv-sun-256
Platform did not provide a description for this model.
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14
Huggingface