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Browse files- README.md +1 -1
- config.json +26 -4
- data_config.yaml +55 -0
- pytorch_model.bin +2 -2
README.md
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@@ -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/pvnet2.1/runs/
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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/pvnet2.1/runs/gxdkqy0d](https://wandb.ai/openclimatefix/pvnet2.1/runs/gxdkqy0d)
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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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config.json
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@@ -18,9 +18,29 @@
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"number_of_conv3d_layers": 6,
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"conv3d_channels": 32,
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"image_size_pixels": 24
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}
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},
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"sat_encoder":
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"add_image_embedding_channel": false,
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"pv_encoder": null,
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"output_network": {
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@@ -36,14 +56,16 @@
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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":
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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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"ukv": 120
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},
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"nwp_forecast_minutes": {
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"ukv": 480
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},
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"optimizer": {
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"_target_": "pvnet.optimizers.EmbAdamWReduceLROnPlateau",
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"number_of_conv3d_layers": 6,
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"conv3d_channels": 32,
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"image_size_pixels": 24
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},
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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": 12,
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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.ResConv3DNet2",
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"_partial_": true,
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"in_channels": 11,
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"out_features": 256,
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"image_size_pixels": 24,
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"hidden_channels": 32,
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"n_res_blocks": 3,
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"res_block_layers": 3,
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"batch_norm": true,
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"dropout_frac": 0.0
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},
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"add_image_embedding_channel": false,
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"pv_encoder": null,
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"output_network": {
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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": {
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"ukv": 120,
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"ecmwf": 120
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},
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"nwp_forecast_minutes": {
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"ukv": 480,
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"ecmwf": 480
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},
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"optimizer": {
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"_target_": "pvnet.optimizers.EmbAdamWReduceLROnPlateau",
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data_config.yaml
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@@ -12,6 +12,36 @@ input_data:
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history_minutes: 120
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time_resolution_minutes: 30
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nwp:
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ukv:
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dropout_fraction: 1.0
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dropout_timedeltas_minutes:
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nwp_provider: ukv
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nwp_zarr_path: PLACEHOLDER.zarr
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time_resolution_minutes: 60
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history_minutes: 120
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time_resolution_minutes: 30
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nwp:
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ecmwf:
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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: 480.0
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history_minutes: 120
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max_staleness_minutes: null
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nwp_accum_channels:
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- dswrf
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- dlwrf
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- sr
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- duvrs
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nwp_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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- sde
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- sr
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- duvrs
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- u10
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- v10
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nwp_image_size_pixels_height: 12
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nwp_image_size_pixels_width: 12
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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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ukv:
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dropout_fraction: 1.0
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dropout_timedeltas_minutes:
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nwp_provider: ukv
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nwp_zarr_path: PLACEHOLDER.zarr
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time_resolution_minutes: 60
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satellite:
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dropout_fraction: 0.2
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dropout_timedeltas_minutes:
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- -5
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- -10
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- -15
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forecast_minutes: 0
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history_minutes: 90
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live_delay_minutes: 0
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satellite_channels:
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- IR_016
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- IR_039
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- IR_087
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- IR_097
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- IR_108
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- IR_120
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- IR_134
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- VIS006
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- VIS008
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- WV_062
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- WV_073
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satellite_image_size_pixels_height: 24
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satellite_image_size_pixels_width: 24
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satellite_zarr_path: PLACEHOLDER.zarr
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time_resolution_minutes: 5
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pytorch_model.bin
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@@ -1,3 +1,3 @@
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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 sha256:93184f7f0b3046337f3076bd87c71ab77c25da3066f8e721323b040f7cc43cfd
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size 38085554
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