Upload folder using huggingface_hub

README.md

@@ -14,7 +14,7 @@ library_name: pytorch
 ## Model Description
 
 <!-- Provide a longer summary of what this model is/does. -->
-This model class uses satellite data, numericl 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).
+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
@@ -39,7 +39,7 @@ Data is prepared with the `ocf_datapipes.training.pvnet` datapipe [2].
 ## Results
 
 The training logs for the current model can be found here:
- - [https://wandb.ai/openclimatefix/pvnet2.1/runs/mmipe3bi](https://wandb.ai/openclimatefix/pvnet2.1/runs/mmipe3bi)
+ - [https://wandb.ai/openclimatefix/pvnet2.1/runs/lqqmlbn6](https://wandb.ai/openclimatefix/pvnet2.1/runs/lqqmlbn6)
 
 
 The training logs for all model runs of PVNet2 can be found [here](https://wandb.ai/openclimatefix/pvnet2.1).

config.json

@@ -56,7 +56,7 @@
     "include_gsp_yield_history": false,
     "forecast_minutes": 480,
     "history_minutes": 120,
-    "min_sat_delay_minutes": 60,
+    "min_sat_delay_minutes": 0,
     "sat_history_minutes": 90,
     "pv_history_minutes": 180,
     "nwp_history_minutes": {

data_config.yaml

@@ -50,17 +50,17 @@ input_data:
       history_minutes: 120
       max_staleness_minutes: null
       nwp_channels:
-      - dlwrf
+      - t
       - dswrf
+      - dlwrf
       - hcc
-      - lcc
       - mcc
-      - prate
-      - r
+      - lcc
       - sde
-      - si10
-      - t
+      - r
       - vis
+      - si10
+      - prate
       nwp_image_size_pixels_height: 24
       nwp_image_size_pixels_width: 24
       nwp_provider: ukv
@@ -74,7 +74,7 @@ input_data:
     - -15
     forecast_minutes: 0
     history_minutes: 90
-    live_delay_minutes: 60
+    live_delay_minutes: 0
     satellite_channels:
     - IR_016
     - IR_039

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:24d73ff02275267d46aca660f29cf49d17d9cdd696feabf2e9b17600e65feb6a
-size 34546610
+oid sha256:e62c984de3baba9499178f3bb3b3986b03ca8816ddd0a6231f97708d3489f900
+size 38085554