pvnet_nl / model_config.yaml
megawattage's picture
Upload folder using huggingface_hub
246b434 verified
_target_: pvnet.models.multimodal.multimodal.Model
output_quantiles:
- 0.02
- 0.1
- 0.25
- 0.5
- 0.75
- 0.9
- 0.98
nwp_encoders_dict:
ecmwf:
_target_: pvnet.models.multimodal.encoders.encoders3d.DefaultPVNet
_partial_: true
in_channels: 14
out_features: 64
number_of_conv3d_layers: 4
conv3d_channels: 32
image_size_pixels: 30
sat_encoder:
_target_: pvnet.models.multimodal.encoders.encoders3d.DefaultPVNet
_partial_: true
in_channels: 11
out_features: 256
number_of_conv3d_layers: 6
conv3d_channels: 32
image_size_pixels: 100
add_image_embedding_channel: false
target_key: site
output_network:
_target_: pvnet.models.multimodal.linear_networks.networks.ResFCNet2
_partial_: true
fc_hidden_features: 128
n_res_blocks: 6
res_block_layers: 2
dropout_frac: 0.0
embedding_dim: 16
include_sun: true
include_gsp_yield_history: false
include_site_yield_history: true
include_time: true
adapt_batches: true
forecast_minutes: 2160
history_minutes: 2880
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: 2160
nwp_interval_minutes:
ecmwf: 60
optimizer:
_target_: pvnet.optimizers.EmbAdamWReduceLROnPlateau
lr: 0.0001
weight_decay: 0.01
amsgrad: true
patience: 4
factor: 0.1
threshold: 0.002