Migrate model (HF commit 5090946) to pvnet version 5.3.0.post0+git.489723d6.dirty

README.md

@@ -3,54 +3,54 @@ language: en
 library_name: pytorch
 license: mit
 ---
-<!--
-Do not remove elements like the above surrounded by two curly braces and do not add any more of them. These entries are required by the PVNet library and are automaticall infilled when the model is uploaded to huggingface
--->
 
-<!-- Title - e.g. PVNet2, WindNet, PVNet India -->
-# TEMPLATE
 
-<!-- Provide a longer summary of what this model is/does. -->
+
+
+
+
+# PVNet2
+
 ## Model Description
 
-<!-- e.g.
-This model class uses satellite data, and numerical weather predictions to forecast the near-term (up to 8 hours ahead) PV power output at all Grid Service Points (GSPs) in Great Britain. 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.
--->
+<!-- Provide a longer summary of what this model is/does. -->
+This model class uses satellite data, numerical 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](https://docs.google.com/document/d/1fbkfkBzp16WbnCg7RDuRDvgzInA6XQu3xh4NCjV-WDA/edit?usp=sharing).
 
 - **Developed by:** openclimatefix
 - **Model type:** Fusion model
 - **Language(s) (NLP):** en
 - **License:** mit
 
+
 # Training Details
 
 ## Data
 
-<!-- eg.
-The model is trained on data from 2019-2022 and validated on data from 2022-2023. It uses NWP data from ECMWF IFS model, and the UK Met Office UKV model. It uses satellite data from the EUMETSAT MSG SEVIRI instrument.
+<!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+The model is trained on data from 2019-2022 and validated on data from 2022-2023. See experimental notes in the [the google doc](https://docs.google.com/document/d/1fbkfkBzp16WbnCg7RDuRDvgzInA6XQu3xh4NCjV-WDA/edit?usp=sharing) for more details.
 
-See the data_config.yaml file for more information on the channels and window-size used for each input data source.
--->
 
-<!-- The preprocessing section is not strictly nessessary but perhaps nice to have -->
 ### Preprocessing
 
-<!-- eg.
 Data is prepared with the `ocf_data_sampler/torch_datasets/datasets/pvnet_uk` Dataset [2].
--->
+
 
 ## Results
 
-<!-- Do not remove the lines below -->
-The training logs for this model commit can be found here:
- - [https://wandb.ai/openclimatefix/NL-Solar/runs/8zxhbp9a](https://wandb.ai/openclimatefix/NL-Solar/runs/8zxhbp9a)
+The training logs for the current model can be found here:
+ - [https://wandb.ai/openclimatefix/NL-Solar/runs/r4naockv](https://wandb.ai/openclimatefix/NL-Solar/runs/r4naockv)
+
+
+The training logs for all model runs of PVNet2 can be found [here](https://wandb.ai/openclimatefix/pvnet2.1).
+
+Some experimental notes can be found at in [the google doc](https://docs.google.com/document/d/1fbkfkBzp16WbnCg7RDuRDvgzInA6XQu3xh4NCjV-WDA/edit?usp=sharing)
 
 
-<!-- The hardware section is also just nice to have -->
 ### Hardware
+
 Trained on a single NVIDIA Tesla T4
 
-<!-- Do not remove the section below -->
 ### Software
 
 This model was trained using the following Open Climate Fix packages:
@@ -58,11 +58,14 @@ This model was trained using the following Open Climate Fix packages:
 - [1] https://github.com/openclimatefix/PVNet
 - [2] https://github.com/openclimatefix/ocf-data-sampler
 
-<!-- Especially do not change the two lines below -->
 The versions of these packages can be found below:
- - pvnet==5.1.0.post0+git.c15f1d4e.dirty
- - ocf-data-sampler==0.5.27.post2+git.e15368d8.dirty
+ - pvnet==4.1.18
+ - ocf-data-sampler==0.2.31
+
+
+---
+**Migration Note**: This model (HF commit 9ebb76d6497d3f0e53607e99b8ffe33679259464) was migrated on 2025-09-10 to pvnet version 5.0.6.post0+git.e31d0340.dirty
 
 
 ---
-**Migration Note**: This model was migrated on 2025-12-05 to pvnet version 5.3.0.post0+git.489723d6.dirty
+**Migration Note**: This model was migrated on 2025-12-07 to pvnet version 5.3.0.post0+git.489723d6.dirty

data_config.yaml

@@ -1,14 +1,9 @@
 general:
-  description: Initial config for NL model
-  name: Netherlands_pvnet_config
+  description: Config for training the saved PVNet model
+  name: PVNet current
 input_data:
   nwp:
     ecmwf:
-      provider: ecmwf
-      zarr_path: PLACEHOLDER.zarr
-      interval_start_minutes: -120
-      interval_end_minutes: 2220
-      time_resolution_minutes: 60
       accum_channels:
       - direct_shortwave_radiation_flux_gl
       - downward_longwave_radiation_flux_gl
@@ -26,86 +21,88 @@ input_data:
       - snow_depth_gl
       - temperature_sl
       - total_precipitation_rate_gl
+      - visibility_sl
       - wind_u_component_10m
       - wind_v_component_10m
-      image_size_pixels_height: 10
-      image_size_pixels_width: 10
-      dropout_timedeltas_minutes:
-      - -360
       dropout_fraction: 1.0
+      dropout_timedeltas_minutes:
+      - -180
+      image_size_pixels_height: 36
+      image_size_pixels_width: 36
+      interval_end_minutes: 2880
+      interval_start_minutes: -120
       max_staleness_minutes: null
       normalisation_constants:
-        temperature_sl:
-          mean: 283.48333740234375
-          std: 3.692270040512085
-        downward_shortwave_radiation_flux_gl:
-          mean: 11458988.0
-          std: 13025427.0
-        downward_longwave_radiation_flux_gl:
-          mean: 27187026.0
-          std: 15855867.0
         cloud_cover_high:
           mean: 0.3961029052734375
           std: 0.42244860529899597
-        cloud_cover_medium:
-          mean: 0.3288780450820923
-          std: 0.38039860129356384
         cloud_cover_low:
           mean: 0.44901806116104126
           std: 0.3791404366493225
+        cloud_cover_medium:
+          mean: 0.3288780450820923
+          std: 0.38039860129356384
         cloud_cover_total:
           mean: 0.7049227356910706
           std: 0.37487083673477173
-        visibility_sl:
-          mean: 12905302.0
-          std: 16294988.0
-        snow_depth_gl:
-          mean: 8.107526082312688e-05
-          std: 0.000913831521756947
+        diff_direct_shortwave_radiation_flux_gl:
+          mean: 469169.5
+          std: 818950.6875
+        diff_downward_longwave_radiation_flux_gl:
+          mean: 1136464.0
+          std: 131942.03125
+        diff_downward_shortwave_radiation_flux_gl:
+          mean: 420584.6875
+          std: 715366.3125
+        diff_downward_ultraviolet_radiation_flux_gl:
+          mean: 48265.4765625
+          std: 81605.25
         direct_shortwave_radiation_flux_gl:
-          mean: 12905302.0
-          std: 16294988.0
+          mean: 11458988.0
+          std: 13025427.0
+        downward_longwave_radiation_flux_gl:
+          mean: 27187026.0
+          std: 15855867.0
+        downward_shortwave_radiation_flux_gl:
+          mean: 11458988.0
+          std: 13025427.0
         downward_ultraviolet_radiation_flux_gl:
           mean: 1305651.25
           std: 1445635.25
+        snow_depth_gl:
+          mean: 8.107526082312688e-05
+          std: 0.000913831521756947
+        temperature_sl:
+          mean: 283.48333740234375
+          std: 3.692270040512085
         total_precipitation_rate_gl:
           mean: 3.108070450252853e-05
           std: 9.81039775069803e-05
-        wind_u_component_10m:
-          mean: 1.7677178382873535
-          std: 5.531515598297119
+        visibility_sl:
+          mean: 12905302.0
+          std: 16294988.0
         wind_u_component_100m:
           mean: 2.393547296524048
           std: 7.2320556640625
+        wind_u_component_10m:
+          mean: 1.7677178382873535
+          std: 5.531515598297119
         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_10m:
+          mean: 0.985887885093689
+          std: 5.411230564117432
         wind_v_component_200m:
           mean: 1.6010299921035767
           std: 7.561611652374268
-        diff_downward_longwave_radiation_flux_gl:
-          mean: 1136464.0
-          std: 131942.03125
-        diff_downward_shortwave_radiation_flux_gl:
-          mean: 420584.6875
-          std: 715366.3125
-        diff_downward_ultraviolet_radiation_flux_gl:
-          mean: 48265.4765625
-          std: 81605.25
-        diff_direct_shortwave_radiation_flux_gl:
-          mean: 469169.5
-          std: 818950.6875
+      provider: ecmwf
+      time_resolution_minutes: 60
+      zarr_path: PLACEHOLDER.zarr
   satellite:
-    zarr_path: PLACEHOLDER.zarr
-    interval_start_minutes: -60
-    interval_end_minutes: 0
-    time_resolution_minutes: 5
     channels:
     - IR_016
     - IR_039
@@ -118,12 +115,22 @@ input_data:
     - VIS008
     - WV_062
     - WV_073
-    image_size_pixels_height: 20
-    image_size_pixels_width: 20
+    dropout_fraction: 0.8
     dropout_timedeltas_minutes:
     - -5
-    dropout_fraction: 1.0
+    - -10
+    - -15
+    - -20
+    - -25
+    - -30
+    image_size_pixels_height: 100
+    image_size_pixels_width: 100
+    interval_end_minutes: -60
+    interval_start_minutes: -90
     normalisation_constants:
+      HRV:
+        mean: 0.09298719
+        std: 0.11405209
       IR_016:
         mean: 0.17594202
         std: 0.21462157
@@ -157,16 +164,15 @@ input_data:
       WV_073:
         mean: 0.62479186
         std: 0.12924142
+    time_resolution_minutes: 5
+    zarr_path: PLACEHOLDER.zarr
   solar_position:
+    interval_end_minutes: 2880
     interval_start_minutes: -2880
-    interval_end_minutes: 2160
     time_resolution_minutes: 15
   generation:
-    time_resolution_minutes: 15
+    capacity_mode: variable
+    interval_end_minutes: 2880
     interval_start_minutes: -2880
-    interval_end_minutes: 2160
-    dropout_timedeltas_minutes:
-    - -15
-    dropout_fraction: 1.0
-    dropout_value: -1
-    zarr_path: /home/alex/NL/NL_regional_generation_kw.nc
+    time_resolution_minutes: 15
+    zarr_path: /home/zak/projects/PVNet/nl_solar/pv_data/netherlands_pv_data_v2.nc

model_config.yaml

@@ -11,12 +11,11 @@ nwp_encoders_dict:
   ecmwf:
     _target_: pvnet.models.late_fusion.encoders.encoders3d.DefaultPVNet
     _partial_: true
-    in_channels: 13
+    in_channels: 14
     out_features: 64
-    fc_features: 32
     number_of_conv3d_layers: 4
     conv3d_channels: 32
-    image_size_pixels: 10
+    image_size_pixels: 36
 sat_encoder:
   _target_: pvnet.models.late_fusion.encoders.encoders3d.DefaultPVNet
   _partial_: true
@@ -24,38 +23,35 @@ sat_encoder:
   out_features: 256
   number_of_conv3d_layers: 6
   conv3d_channels: 32
-  image_size_pixels: 20
+  image_size_pixels: 100
+add_image_embedding_channel: false
+pv_encoder:
+  _target_: pvnet.models.late_fusion.site_encoders.encoders.SingleAttentionNetwork
+  _partial_: true
+  num_sites: 1
+  out_features: 64
+  num_heads: 4
+  kdim: 64
+  id_embed_dim: 64
 output_network:
   _target_: pvnet.models.late_fusion.linear_networks.networks.ResFCNet
   _partial_: true
   fc_hidden_features: 128
   n_res_blocks: 6
   res_block_layers: 2
-  dropout_frac: 0.2
+  dropout_frac: 0.0
+embedding_dim: 16
 include_sun: true
-interval_minutes: 15
-location_id_mapping:
-  1: 1
-  2: 2
-  3: 3
-  4: 4
-  5: 5
-  6: 6
-  7: 7
-  8: 8
-  9: 9
-  10: 10
-  11: 11
-  12: 12
-forecast_minutes: 2160
+forecast_minutes: 2880
 history_minutes: 2880
-min_sat_delay_minutes: 5
-sat_history_minutes: 65
+interval_minutes: 15
+min_sat_delay_minutes: 60
+sat_history_minutes: 90
 pv_history_minutes: 2880
+pv_interval_minutes: 15
 nwp_history_minutes:
   ecmwf: 120
 nwp_forecast_minutes:
-  ecmwf: 2220
+  ecmwf: 2880
 nwp_interval_minutes:
   ecmwf: 60
-include_generation_history: true

model_weights.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9ea4c96ba3c7ce16440d368dcfee4294e424db26f00b419b5cde9f7376958957
-size 17070288
+oid sha256:8ad51e8341008745f6e88e4104b1483bc4bcf98379f57cd589cfbdb634351023
+size 1548563104