AUdaltsova
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Browse files- README.md +2 -2
- config.json +23 -14
- data_config.yaml +31 -9
- pytorch_model.bin +2 -2
README.md
CHANGED
@@ -39,10 +39,10 @@ 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/
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The training logs for all model runs of PVNet2 can be found [here](https://wandb.ai/openclimatefix/
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Some experimental notes can be found at in [the google doc](https://docs.google.com/document/d/1fbkfkBzp16WbnCg7RDuRDvgzInA6XQu3xh4NCjV-WDA/edit?usp=sharing)
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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/pvnet2.1/runs/kgduk9ik](https://wandb.ai/openclimatefix/pvnet2.1/runs/kgduk9ik)
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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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Some experimental notes can be found at in [the google doc](https://docs.google.com/document/d/1fbkfkBzp16WbnCg7RDuRDvgzInA6XQu3xh4NCjV-WDA/edit?usp=sharing)
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config.json
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@@ -1,13 +1,9 @@
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{
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"_target_": "pvnet.models.multimodal.multimodal.Model",
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"output_quantiles": [
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0.02,
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0.1,
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0.25,
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0.5,
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0.
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0.9,
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0.98
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],
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"interval_minutes": 15,
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"use_weighted_loss": false,
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"ecmwf": {
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"_target_": "pvnet.models.multimodal.encoders.encoders3d.ResConv3DNet2",
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"_partial_": true,
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"in_channels":
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"out_features": 256,
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"n_res_blocks": 4,
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"hidden_channels": 256,
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"image_size_pixels":
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}
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},
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"wind_encoder": {
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"output_network": {
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"_target_": "pvnet.models.multimodal.linear_networks.networks.ResFCNet2",
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"_partial_": true,
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"fc_hidden_features":
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"n_res_blocks": 6,
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"res_block_layers": 4,
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"dropout_frac": 0.0
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},
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"embedding_dim":
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"include_sun": false,
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"include_gsp_yield_history": false,
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"forecast_minutes": 2880,
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"history_minutes": 60,
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"min_sat_delay_minutes": 60,
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"sat_history_minutes": 90,
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"nwp_history_minutes": {
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"ecmwf": 60
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},
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"nwp_forecast_minutes": {
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"ecmwf": 2880
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},
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"wind_history_minutes": 60,
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"
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"target_key": "wind",
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"optimizer": {
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"_target_": "pvnet.optimizers.EmbAdamWReduceLROnPlateau",
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{
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"_target_": "pvnet.models.multimodal.multimodal.Model",
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"output_quantiles": [
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0.1,
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0.5,
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0.9
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],
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"interval_minutes": 15,
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"use_weighted_loss": false,
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"ecmwf": {
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"_target_": "pvnet.models.multimodal.encoders.encoders3d.ResConv3DNet2",
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"_partial_": true,
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"in_channels": 8,
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"out_features": 256,
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"n_res_blocks": 4,
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"hidden_channels": 256,
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"image_size_pixels": 42
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},
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"gfs": {
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"_target_": "pvnet.models.multimodal.encoders.encoders3d.ResConv3DNet2",
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"_partial_": true,
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"in_channels": 6,
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"out_features": 256,
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"n_res_blocks": 3,
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"hidden_channels": 256,
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"image_size_pixels": 10
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}
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},
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"wind_encoder": {
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"output_network": {
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"_target_": "pvnet.models.multimodal.linear_networks.networks.ResFCNet2",
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"_partial_": true,
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"fc_hidden_features": 128,
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"n_res_blocks": 6,
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"res_block_layers": 4,
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"dropout_frac": 0.0
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},
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"embedding_dim": 16,
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"include_sun": false,
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"include_gsp_yield_history": false,
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"forecast_minutes": 2880,
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"history_minutes": 60,
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"nwp_history_minutes": {
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"ecmwf": 60,
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"gfs": 0
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},
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"nwp_forecast_minutes": {
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"ecmwf": 2880,
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"gfs": 2220
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},
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"nwp_interval_minutes": {
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"ecmwf": 60,
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"gfs": 180
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},
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"wind_history_minutes": 60,
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"wind_interval_minutes": 15,
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"target_key": "wind",
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"optimizer": {
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"_target_": "pvnet.optimizers.EmbAdamWReduceLROnPlateau",
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data_config.yaml
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@@ -2,32 +2,54 @@ general:
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description: Config for training the saved PVNet model
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name: PVNet current
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input_data:
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data_source_which_defines_geospatial_locations: wind
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default_forecast_minutes: 2880
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default_history_minutes: 60
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nwp:
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ecmwf:
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-
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history_minutes: 60
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nwp_channels:
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- t2m
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- u10
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- u100
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- u200
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- v10
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- v100
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- v200
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nwp_image_size_pixels_height:
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nwp_image_size_pixels_width:
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nwp_provider: ecmwf
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nwp_zarr_path: PLACEHOLDER.zarr
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time_resolution_minutes: 60
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wind:
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get_center: true
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n_wind_systems_per_example: 1
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wind_files_groups:
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- label: india
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wind_filename: /mnt/storage_ssd_4tb/india_wind_data.nc
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wind_metadata_filename: /mnt/storage_ssd_4tb/
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description: Config for training the saved PVNet model
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name: PVNet current
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input_data:
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default_forecast_minutes: 2880
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default_history_minutes: 60
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nwp:
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ecmwf:
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coarsen_to_degrees: 0.2
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dropout_fraction: 1.0
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dropout_timedeltas_minutes:
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- -360
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forecast_minutes: 2880.0
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history_minutes: 60
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nwp_channels:
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- t2m
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- prate
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- u10
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- v10
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- u100
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- v100
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- u200
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- v200
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nwp_image_size_pixels_height: 42
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nwp_image_size_pixels_width: 42
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nwp_provider: ecmwf
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nwp_zarr_path: PLACEHOLDER.zarr
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time_resolution_minutes: 60
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gfs:
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dropout_fraction: 1.0
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dropout_timedeltas_minutes:
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- -300
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forecast_minutes: 2100.0
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history_minutes: 60
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nwp_channels:
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- t
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- prate
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- u10
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- v10
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- u100
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- v100
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nwp_image_size_pixels_height: 10
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nwp_image_size_pixels_width: 10
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nwp_provider: gfs
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nwp_zarr_path: PLACEHOLDER.zarr
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time_resolution_minutes: 180
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wind:
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get_center: true
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n_wind_systems_per_example: 1
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time_resolution_minutes: 15
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wind_files_groups:
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- label: india
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wind_filename: /mnt/storage_ssd_4tb/india_wind_data.nc
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wind_metadata_filename: /mnt/storage_ssd_4tb/india_wind_metadata2.csv
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wind_ml_ids: []
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:949bfd7d1b6a4e7f44aa1ba737d6bdf7de455160bdb8fec37f0ffeeee5bac2e0
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size 158042114
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