File size: 2,947 Bytes
6cedd5c fa51aa1 36a9bd1 fa51aa1 36a9bd1 fa51aa1 36a9bd1 fa51aa1 36a9bd1 fa51aa1 36a9bd1 062d170 fa51aa1 6cedd5c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 |
{
"_target_": "pvnet.models.ensemble.Ensemble",
"model_list": [
{
"_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": {
"ukv": {
"_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": 24
},
"ecmwf": {
"_target_": "pvnet.models.multimodal.encoders.encoders3d.DefaultPVNet",
"_partial_": true,
"in_channels": 12,
"out_features": 256,
"number_of_conv3d_layers": 4,
"conv3d_channels": 32,
"image_size_pixels": 12
}
},
"sat_encoder": {
"_target_": "pvnet.models.multimodal.encoders.encoders3d.ResConv3DNet2",
"_partial_": true,
"in_channels": 11,
"out_features": 256,
"image_size_pixels": 24,
"hidden_channels": 32,
"n_res_blocks": 3,
"res_block_layers": 3,
"batch_norm": true,
"dropout_frac": 0.0
},
"add_image_embedding_channel": false,
"pv_encoder": null,
"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,
"forecast_minutes": 480,
"history_minutes": 120,
"min_sat_delay_minutes": 60,
"sat_history_minutes": 90,
"pv_history_minutes": 180,
"nwp_history_minutes": {
"ukv": 120,
"ecmwf": 120
},
"nwp_forecast_minutes": {
"ukv": 480,
"ecmwf": 480
},
"optimizer": {
"_target_": "pvnet.optimizers.EmbAdamWReduceLROnPlateau",
"lr": 0.0001,
"weight_decay": 0.25,
"amsgrad": true,
"patience": 5,
"factor": 0.1,
"threshold": 0.002
},
"adapt_batches": true
}
]
} |