Upload models - 3z7g9npe

README.md

@@ -14,7 +14,7 @@ Do not remove elements like the above surrounded by two curly braces and do not
 ## Model Description
 
 <!-- e.g.
-This model uses ECMWF deterministc NWP (HRES) & GDM's GenCast forecast, it forecasts up to 48 hours ahead at 15 min intervals and is trained on regional wind power data in NW India. More information can be found in the model repo [1]. The model repo also includes links to our workshop paper on this model and some experimental notes.
+This model uses ECMWF deterministc NWP (HRES) it forecasts up to 48 hours ahead at 15 min intervals and is trained on regional wind power data in NW India. More information can be found in the model repo [1]. The model repo also includes links to our workshop paper on this model and some experimental notes.
 -->
 
 - **Developed by:** openclimatefix
@@ -27,7 +27,7 @@ This model uses ECMWF deterministc NWP (HRES) & GDM's GenCast forecast, it forec
 ## Data
 
 <!-- eg.
-The model is trained on data from 2020-2022 and validated on data from 2023. This model uses ECMWF deterministc NWP (HRES) & GDM's GenCast forecast, which has its ensemble member data summarised into some aggregate stats e.g. mean, std & percentiles.
+The model is trained on data from 2020-2022 and validated on data from 2023. This model uses ECMWF deterministc NWP (HRES).
 
 See the data_config.yaml file for more information on the channels and window-size used for each input data source.
 -->
@@ -43,7 +43,7 @@ Data is prepared with the `ocf_data_sampler/torch_datasets/datasets/site` Datase
 
 <!-- Do not remove the lines below -->
 The training logs for this model commit can be found here:
- - [https://wandb.ai/openclimatefix/gdm-gen/runs/7itrv8nl](https://wandb.ai/openclimatefix/gdm-gen/runs/7itrv8nl)
+ - [https://wandb.ai/openclimatefix/gdm-gen/runs/3z7g9npe](https://wandb.ai/openclimatefix/gdm-gen/runs/3z7g9npe)
 
 
 <!-- The hardware section is also just nice to have -->
@@ -62,7 +62,3 @@ This model was trained using the following Open Climate Fix packages:
 The versions of these packages can be found below:
  - pvnet==5.2.3
  - ocf-data-sampler==0.6.2.post0+git.accd7422.dirty
-
-
----
-**Migration Note**: This model was migrated on 2025-12-15 to pvnet version 5.3.0.post1+git.615e1fa3.dirty

data_config.yaml

@@ -2,49 +2,15 @@ general:
   description: Example config for producing PVNet samples
   name: example_config
 input_data:
+  site:
+    time_resolution_minutes: 15
+    interval_start_minutes: 0
+    interval_end_minutes: 2880
+    file_path: /mnt/disks/gdm_data/gdm_data/ruvnl_data/india_wind_data_data_sampler_schema_v2.nc
+    metadata_file_path: /mnt/disks/gdm_data/gdm_data/ruvnl_data/india_wind_metadata_data_sampler_schema.csv
+    dropout_timedeltas_minutes: []
+    dropout_fraction: 0
   nwp:
-    ecmwf:
-      provider: ecmwf
-      zarr_path: PLACEHOLDER.zarr
-      interval_start_minutes: 0
-      interval_end_minutes: 2880
-      time_resolution_minutes: 60
-      channels:
-      - temperature_sl
-      - wind_u_component_10m
-      - wind_v_component_10m
-      - wind_u_component_100m
-      - wind_v_component_100m
-      - wind_u_component_200m
-      - wind_v_component_200m
-      image_size_pixels_height: 60
-      image_size_pixels_width: 60
-      dropout_timedeltas_minutes:
-      - -360
-      dropout_fraction: 1.0
-      max_staleness_minutes: null
-      normalisation_constants:
-        temperature_sl:
-          mean: 283.48333740234375
-          std: 3.692270040512085
-        wind_u_component_10m:
-          mean: 1.7677178382873535
-          std: 5.531515598297119
-        wind_u_component_100m:
-          mean: 2.393547296524048
-          std: 7.2320556640625
-        wind_u_component_200m:
-          mean: 2.7963004112243652
-          std: 8.049470901489258
-        wind_v_component_10m:
-          mean: 0.985887885093689
-          std: 5.411230564117432
-        wind_v_component_100m:
-          mean: 1.4244288206100464
-          std: 6.944501876831055
-        wind_v_component_200m:
-          mean: 1.6010299921035767
-          std: 7.561611652374268
     gencast:
       provider: gencast
       zarr_path: PLACEHOLDER.zarr
@@ -220,10 +186,3 @@ input_data:
         P90_mean_sea_level_pressure:
           mean: 100894.1015625
           std: 672.7207641601562
-  generation:
-    time_resolution_minutes: 15
-    interval_start_minutes: 0
-    interval_end_minutes: 2880
-    dropout_timedeltas_minutes: []
-    dropout_fraction: 0
-    zarr_path: /mnt/disks/gdm_data/gdm_data/ruvnl_data/india_wind_data_data_sampler_schema_v2.nc

model_config.yaml

@@ -5,22 +5,10 @@ output_quantiles:
 - 0.5
 - 0.75
 - 0.9
+target_key: site
 interval_minutes: 15
 embedding_dim: null
 nwp_encoders_dict:
-  ecmwf:
-    _target_: pvnet.models.late_fusion.encoders.encoders3d.DefaultPVNet
-    _partial_: true
-    in_channels: 7
-    out_features: 32
-    fc_features: 32
-    number_of_conv3d_layers: 3
-    conv3d_channels: 16
-    image_size_pixels: 60
-    stride:
-    - 1
-    - 2
-    - 2
   gencast:
     _target_: pvnet.models.late_fusion.encoders.encoders3d.DefaultPVNet
     _partial_: true
@@ -40,15 +28,13 @@ output_network:
   dropout_frac: 0.2
 include_sun: false
 include_time: true
+include_gsp_yield_history: false
+include_site_yield_history: false
 forecast_minutes: 2880
 history_minutes: 0
 nwp_history_minutes:
   gencast: 0
-  ecmwf: 0
 nwp_forecast_minutes:
   gencast: 2880
-  ecmwf: 2880
 nwp_interval_minutes:
   gencast: 360
-  ecmwf: 60
-include_generation_history: false

model_weights.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d21a0a811b0c151f6d07516f970e268d064338711d5ed650e1700a92db4903f5
-size 6605176
+oid sha256:e6eaa3406e8c8a34640f08fe8da833fbe68055459218e6d5d358b9c313b4d965
+size 2915336