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  1. README.md +1 -1
  2. config.json +21 -4
  3. data_config.yaml +28 -1
  4. pytorch_model.bin +2 -2
README.md CHANGED
@@ -39,7 +39,7 @@ Data is prepared with the `ocf_datapipes.training.pvnet` datapipe [2].
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  ## Results
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  The training logs for the current model can be found here:
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- - [https://wandb.ai/openclimatefix/PVNet_intra/runs/0h59976x](https://wandb.ai/openclimatefix/PVNet_intra/runs/0h59976x)
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  The training logs for all model runs of PVNet2 can be found [here](https://wandb.ai/openclimatefix/pvnet2.1).
 
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  ## Results
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  The training logs for the current model can be found here:
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+ - [https://wandb.ai/openclimatefix/PVNet_intra/runs/dexo34ud](https://wandb.ai/openclimatefix/PVNet_intra/runs/dexo34ud)
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  The training logs for all model runs of PVNet2 can be found [here](https://wandb.ai/openclimatefix/pvnet2.1).
config.json CHANGED
@@ -9,6 +9,17 @@
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  0.9,
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  0.98
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  ],
 
 
 
 
 
 
 
 
 
 
 
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  "sat_encoder": {
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  "_target_": "pvnet.models.multimodal.encoders.encoders3d.DefaultPVNet",
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  "_partial_": true,
@@ -33,12 +44,18 @@
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  "include_gsp_yield_history": false,
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  "forecast_minutes": 480,
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  "history_minutes": 120,
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- "min_sat_delay_minutes": 0,
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  "sat_history_minutes": 90,
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  "pv_history_minutes": 180,
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- "nwp_history_minutes": null,
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- "nwp_forecast_minutes": null,
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- "nwp_interval_minutes": null,
 
 
 
 
 
 
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  "optimizer": {
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  "_target_": "pvnet.optimizers.EmbAdamWReduceLROnPlateau",
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  "lr": 0.0001,
 
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  0.9,
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  0.98
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  ],
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+ "nwp_encoders_dict": {
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+ "ecmwf": {
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+ "_target_": "pvnet.models.multimodal.encoders.encoders3d.DefaultPVNet",
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+ "_partial_": true,
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+ "in_channels": 11,
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+ "out_features": 256,
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+ "number_of_conv3d_layers": 4,
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+ "conv3d_channels": 32,
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+ "image_size_pixels": 12
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+ }
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+ },
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  "sat_encoder": {
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  "_target_": "pvnet.models.multimodal.encoders.encoders3d.DefaultPVNet",
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  "_partial_": true,
 
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  "include_gsp_yield_history": false,
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  "forecast_minutes": 480,
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  "history_minutes": 120,
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+ "min_sat_delay_minutes": 30,
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  "sat_history_minutes": 90,
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  "pv_history_minutes": 180,
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+ "nwp_history_minutes": {
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+ "ecmwf": 120
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+ },
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+ "nwp_forecast_minutes": {
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+ "ecmwf": 480
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+ },
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+ "nwp_interval_minutes": {
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+ "ecmwf": 60
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+ },
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  "optimizer": {
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  "_target_": "pvnet.optimizers.EmbAdamWReduceLROnPlateau",
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  "lr": 0.0001,
data_config.yaml CHANGED
@@ -10,6 +10,33 @@ input_data:
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  interval_start_minutes: -120
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  time_resolution_minutes: 30
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  zarr_path: PLACEHOLDER.zarr
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  satellite:
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  channels:
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  - IR_016
@@ -29,7 +56,7 @@ input_data:
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  image_size_pixels_width: 24
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  interval_end_minutes: 0
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  interval_start_minutes: -90
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- live_delay_minutes: 0
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  satellite_image_size_pixels_height: 24
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  satellite_image_size_pixels_width: 24
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  time_resolution_minutes: 5
 
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  interval_start_minutes: -120
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  time_resolution_minutes: 30
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  zarr_path: PLACEHOLDER.zarr
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+ nwp:
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+ ecmwf:
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+ channels:
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+ - t2m
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+ - dswrf
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+ - dlwrf
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+ - hcc
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+ - mcc
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+ - lcc
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+ - tcc
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+ - sd
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+ - sr
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+ - duvrs
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+ - u10
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+ - v10
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+ dropout_fraction: 1.0
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+ dropout_timedeltas_minutes:
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+ - -180
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+ forecast_minutes: 720.0
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+ image_size_pixels_height: 12
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+ image_size_pixels_width: 12
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+ interval_end_minutes: 480
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+ interval_start_minutes: -120
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+ max_staleness_minutes: null
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+ provider: ecmwf
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+ time_resolution_minutes: 60
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+ zarr_path: PLACEHOLDER.zarr
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  satellite:
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  channels:
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  - IR_016
 
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  image_size_pixels_width: 24
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  interval_end_minutes: 0
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  interval_start_minutes: -90
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+ live_delay_minutes: 30
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  satellite_image_size_pixels_height: 24
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  satellite_image_size_pixels_width: 24
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  time_resolution_minutes: 5
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
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