Upload folder using huggingface_hub
Browse files- README.md +5 -4
- data_config.yaml +64 -30
- model_config.yaml +391 -0
- pytorch_model.bin +2 -2
README.md
CHANGED
@@ -39,7 +39,7 @@ Data is prepared with the `ocf_data_sampler/torch_datasets/datasets/pvnet_uk` Da
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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/pvnet2.1).
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@@ -53,10 +53,11 @@ Trained on a single NVIDIA Tesla T4
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### Software
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- [1] https://github.com/openclimatefix/PVNet
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- [2] https://github.com/openclimatefix/ocf-data-sampler
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The versions of these packages can be found below:
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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/r2txd12n](https://wandb.ai/openclimatefix/pvnet2.1/runs/r2txd12n)
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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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### Software
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+
This model was trained using the following Open Climate Fix packages:
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- [1] https://github.com/openclimatefix/PVNet
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- [2] https://github.com/openclimatefix/ocf-data-sampler
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The versions of these packages can be found below:
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+
- pvnet==4.1.6
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+
- ocf-data-sampler==0.2.17.post0+git.563e6370.dirty
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data_config.yaml
CHANGED
@@ -3,11 +3,11 @@ general:
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name: PVNet current
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input_data:
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gsp:
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dropout_fraction: 0
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dropout_timedeltas_minutes: []
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-
forecast_minutes: 2160
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interval_end_minutes: 2160
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-
interval_start_minutes:
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time_resolution_minutes: 30
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zarr_path: PLACEHOLDER.zarr
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nwp:
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@@ -33,7 +33,6 @@ input_data:
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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: 2460.0
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image_size_pixels_height: 12
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image_size_pixels_width: 12
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interval_end_minutes: 2220
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@@ -52,15 +51,6 @@ input_data:
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diff_sr:
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mean: 469169.5
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std: 818950.6875
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-
dlwrf:
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-
mean: 27187026.0
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-
std: 15855867.0
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-
dswrf:
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mean: 11458988.0
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-
std: 13025427.0
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-
duvrs:
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mean: 1305651.25
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-
std: 1445635.25
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hcc:
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mean: 0.3961029052734375
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std: 0.42244860529899597
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@@ -70,15 +60,9 @@ input_data:
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mcc:
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mean: 0.3288780450820923
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std: 0.38039860129356384
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-
prate:
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-
mean: 3.108070450252853e-05
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-
std: 9.81039775069803e-05
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sd:
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mean: 8.107526082312688e-05
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std: 0.000913831521756947
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-
sr:
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-
mean: 12905302.0
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-
std: 16294988.0
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t2m:
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mean: 283.48333740234375
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std: 3.692270040512085
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@@ -88,21 +72,71 @@ input_data:
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u10:
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mean: 1.7677178382873535
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std: 5.531515598297119
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-
u100:
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-
mean: 2.393547296524048
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-
std: 7.2320556640625
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-
u200:
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-
mean: 2.7963004112243652
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-
std: 8.049470901489258
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v10:
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mean: 0.985887885093689
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std: 5.411230564117432
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-
v100:
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-
mean: 1.4244288206100464
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-
std: 6.944501876831055
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-
v200:
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-
mean: 1.6010299921035767
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-
std: 7.561611652374268
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provider: ecmwf
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time_resolution_minutes: 60
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zarr_path: PLACEHOLDER.zarr
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3 |
name: PVNet current
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4 |
input_data:
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gsp:
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+
boundaries_version: '20250109'
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7 |
dropout_fraction: 0
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dropout_timedeltas_minutes: []
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interval_end_minutes: 2160
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+
interval_start_minutes: -120
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time_resolution_minutes: 30
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zarr_path: PLACEHOLDER.zarr
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nwp:
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dropout_fraction: 1.0
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dropout_timedeltas_minutes:
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- -360
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image_size_pixels_height: 12
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image_size_pixels_width: 12
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interval_end_minutes: 2220
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diff_sr:
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mean: 469169.5
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std: 818950.6875
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hcc:
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mean: 0.3961029052734375
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std: 0.42244860529899597
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mcc:
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mean: 0.3288780450820923
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std: 0.38039860129356384
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sd:
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mean: 8.107526082312688e-05
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std: 0.000913831521756947
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t2m:
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mean: 283.48333740234375
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std: 3.692270040512085
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u10:
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mean: 1.7677178382873535
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std: 5.531515598297119
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v10:
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mean: 0.985887885093689
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std: 5.411230564117432
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provider: ecmwf
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time_resolution_minutes: 60
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zarr_path: PLACEHOLDER.zarr
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+
ukv:
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+
channels:
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- t
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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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+
- sde
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+
- r
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+
- vis
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+
- si10
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+
- prate
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+
dropout_fraction: 1.0
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+
dropout_timedeltas_minutes:
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- -180
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+
image_size_pixels_height: 24
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+
image_size_pixels_width: 24
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+
interval_end_minutes: 1800
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100 |
+
interval_start_minutes: -120
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101 |
+
max_staleness_minutes: null
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+
normalisation_constants:
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103 |
+
dlwrf:
|
104 |
+
mean: 325.03130139
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105 |
+
std: 39.45988077
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+
dswrf:
|
107 |
+
mean: 111.28265039
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108 |
+
std: 190.47216887
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109 |
+
hcc:
|
110 |
+
mean: 29.11949682
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111 |
+
std: 38.07184418
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112 |
+
lcc:
|
113 |
+
mean: 50.08362643
|
114 |
+
std: 39.33210726
|
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+
mcc:
|
116 |
+
mean: 40.88984494
|
117 |
+
std: 41.91144559
|
118 |
+
prate:
|
119 |
+
mean: 3.45793433e-05
|
120 |
+
std: 0.00021497
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121 |
+
r:
|
122 |
+
mean: 81.79229501
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123 |
+
std: 11.45012499
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+
sde:
|
125 |
+
mean: 0.00289545
|
126 |
+
std: 0.1029753
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127 |
+
si10:
|
128 |
+
mean: 6.88348448
|
129 |
+
std: 3.94718813
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130 |
+
t:
|
131 |
+
mean: 283.64913206
|
132 |
+
std: 4.38818501
|
133 |
+
vis:
|
134 |
+
mean: 32262.03285118
|
135 |
+
std: 21578.97975625
|
136 |
+
provider: ukv
|
137 |
+
time_resolution_minutes: 60
|
138 |
+
zarr_path: PLACEHOLDER.zarr
|
139 |
+
solar_position:
|
140 |
+
interval_end_minutes: 2160
|
141 |
+
interval_start_minutes: -120
|
142 |
+
time_resolution_minutes: 30
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model_config.yaml
ADDED
@@ -0,0 +1,391 @@
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|
1 |
+
_target_: pvnet.models.multimodal.multimodal.Model
|
2 |
+
output_quantiles:
|
3 |
+
- 0.02
|
4 |
+
- 0.1
|
5 |
+
- 0.25
|
6 |
+
- 0.5
|
7 |
+
- 0.75
|
8 |
+
- 0.9
|
9 |
+
- 0.98
|
10 |
+
nwp_encoders_dict:
|
11 |
+
ukv:
|
12 |
+
_target_: pvnet.models.multimodal.encoders.encoders3d.DefaultPVNet
|
13 |
+
_partial_: true
|
14 |
+
in_channels: 11
|
15 |
+
out_features: 256
|
16 |
+
number_of_conv3d_layers: 6
|
17 |
+
conv3d_channels: 32
|
18 |
+
image_size_pixels: 24
|
19 |
+
ecmwf:
|
20 |
+
_target_: pvnet.models.multimodal.encoders.encoders3d.DefaultPVNet
|
21 |
+
_partial_: true
|
22 |
+
in_channels: 12
|
23 |
+
out_features: 256
|
24 |
+
number_of_conv3d_layers: 4
|
25 |
+
conv3d_channels: 32
|
26 |
+
image_size_pixels: 12
|
27 |
+
sat_encoder: null
|
28 |
+
add_image_embedding_channel: false
|
29 |
+
pv_encoder: null
|
30 |
+
output_network:
|
31 |
+
_target_: pvnet.models.multimodal.linear_networks.networks.ResFCNet2
|
32 |
+
_partial_: true
|
33 |
+
fc_hidden_features: 128
|
34 |
+
n_res_blocks: 6
|
35 |
+
res_block_layers: 2
|
36 |
+
dropout_frac: 0.0
|
37 |
+
embedding_dim: 16
|
38 |
+
include_sun: true
|
39 |
+
include_gsp_yield_history: false
|
40 |
+
forecast_minutes: 2160
|
41 |
+
history_minutes: 120
|
42 |
+
min_sat_delay_minutes: 0
|
43 |
+
sat_history_minutes: 60
|
44 |
+
pv_history_minutes: 180
|
45 |
+
nwp_history_minutes:
|
46 |
+
ukv: 120
|
47 |
+
ecmwf: 120
|
48 |
+
nwp_forecast_minutes:
|
49 |
+
ukv: 1800
|
50 |
+
ecmwf: 2220
|
51 |
+
optimizer:
|
52 |
+
_target_: pvnet.optimizers.EmbAdamWReduceLROnPlateau
|
53 |
+
lr: 0.0001
|
54 |
+
weight_decay: 0.25
|
55 |
+
amsgrad: true
|
56 |
+
patience: 10
|
57 |
+
factor: 0.1
|
58 |
+
threshold: 0.002
|
59 |
+
location_id_mapping:
|
60 |
+
1: 1
|
61 |
+
2: 2
|
62 |
+
3: 3
|
63 |
+
4: 4
|
64 |
+
6: 5
|
65 |
+
7: 6
|
66 |
+
8: 7
|
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adapt_batches: true
|
pytorch_model.bin
CHANGED
@@ -1,3 +1,3 @@
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|
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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3 |
-
size
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|
|
1 |
version https://git-lfs.github.com/spec/v1
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oid sha256:c0219efc7a522c65d9c06c1c7090e54eb4e38259bc3f09d53af7fa61e8bbc401
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size 91004671
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