Upload folder using huggingface_hub

README.md

@@ -1,3 +1,57 @@
 ---
+language: en
 license: mit
+library_name: pytorch
 ---
+
+
+
+
+
+
+# PVNet2
+
+## 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).
+
+- **Developed by:** openclimatefix
+- **Model type:** Fusion model
+- **Language(s) (NLP):** en
+- **License:** mit
+
+
+# Training Details
+
+## Data
+
+<!-- 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.
+
+
+### Preprocessing
+
+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/g9einxvs](https://wandb.ai/openclimatefix/pvnet2.1/runs/g9einxvs)
+
+
+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)
+
+
+### Hardware
+
+Trained on a single NVIDIA Tesla T4
+
+### Software
+
+- [1] https://github.com/openclimatefix/PVNet
+- [2] https://github.com/openclimatefix/ocf_datapipes

config.json

@@ -0,0 +1,80 @@
+{
+    "_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": 0,
+    "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
+}

data_config.yaml

@@ -0,0 +1,451 @@
+general:
+  description: Config for training the saved PVNet model
+  name: PVNet current
+input_data:
+  default_forecast_minutes: 480
+  default_history_minutes: 120
+  gsp:
+    dropout_fraction: 0
+    dropout_timedeltas_minutes: null
+    forecast_minutes: 480
+    gsp_zarr_path: PLACEHOLDER.zarr
+    history_minutes: 120
+    time_resolution_minutes: 30
+  nwp:
+    ecmwf:
+      dropout_fraction: 1.0
+      dropout_timedeltas_minutes:
+      - -360
+      forecast_minutes: 480
+      history_minutes: 120
+      max_staleness_minutes: null
+      nwp_channels:
+      - t2m
+      - dswrf
+      - dlwrf
+      - hcc
+      - mcc
+      - lcc
+      - tcc
+      - sde
+      - sr
+      - duvrs
+      - u10
+      - v10
+      nwp_image_size_pixels_height: 24
+      nwp_image_size_pixels_width: 24
+      nwp_provider: ecmwf
+      nwp_zarr_path: PLACEHOLDER.zarr
+      time_resolution_minutes: 60
+    ukv:
+      dropout_fraction: 1.0
+      dropout_timedeltas_minutes:
+      - -180
+      forecast_minutes: 480
+      history_minutes: 120
+      max_staleness_minutes: null
+      nwp_channels:
+      - t
+      - dswrf
+      - dlwrf
+      - hcc
+      - mcc
+      - lcc
+      - sde
+      - r
+      - vis
+      - si10
+      - prate
+      nwp_image_size_pixels_height: 48
+      nwp_image_size_pixels_width: 48
+      nwp_provider: ukv
+      nwp_zarr_path: PLACEHOLDER.zarr
+      time_resolution_minutes: 60
+  pv:
+    dropout_fraction: 0
+    dropout_timedeltas_minutes: null
+    forecast_minutes: 0
+    history_minutes: 120
+    pv_files_groups:
+    - label: solar_sheffield_passiv
+      pv_filename: PLACEHOLDER.netcdf
+      pv_metadata_filename: PLACEHOLDER.csv
+    pv_ml_ids:
+    - 154
+    - 155
+    - 156
+    - 158
+    - 159
+    - 160
+    - 162
+    - 164
+    - 165
+    - 166
+    - 167
+    - 168
+    - 169
+    - 171
+    - 173
+    - 177
+    - 178
+    - 179
+    - 181
+    - 182
+    - 185
+    - 186
+    - 187
+    - 188
+    - 189
+    - 190
+    - 191
+    - 192
+    - 193
+    - 197
+    - 198
+    - 199
+    - 200
+    - 202
+    - 204
+    - 205
+    - 206
+    - 208
+    - 209
+    - 211
+    - 214
+    - 215
+    - 216
+    - 217
+    - 218
+    - 219
+    - 220
+    - 221
+    - 225
+    - 229
+    - 230
+    - 232
+    - 233
+    - 234
+    - 236
+    - 242
+    - 243
+    - 245
+    - 252
+    - 254
+    - 255
+    - 256
+    - 257
+    - 258
+    - 260
+    - 261
+    - 262
+    - 265
+    - 267
+    - 268
+    - 272
+    - 273
+    - 275
+    - 276
+    - 277
+    - 280
+    - 281
+    - 282
+    - 283
+    - 287
+    - 289
+    - 291
+    - 292
+    - 293
+    - 294
+    - 295
+    - 296
+    - 297
+    - 298
+    - 301
+    - 302
+    - 303
+    - 304
+    - 306
+    - 307
+    - 309
+    - 310
+    - 311
+    - 317
+    - 318
+    - 319
+    - 320
+    - 321
+    - 322
+    - 323
+    - 325
+    - 326
+    - 329
+    - 332
+    - 333
+    - 335
+    - 336
+    - 338
+    - 340
+    - 342
+    - 344
+    - 345
+    - 346
+    - 348
+    - 349
+    - 352
+    - 354
+    - 355
+    - 356
+    - 357
+    - 360
+    - 362
+    - 363
+    - 368
+    - 369
+    - 370
+    - 371
+    - 372
+    - 374
+    - 375
+    - 376
+    - 378
+    - 380
+    - 382
+    - 384
+    - 385
+    - 388
+    - 390
+    - 391
+    - 393
+    - 396
+    - 397
+    - 398
+    - 399
+    - 400
+    - 401
+    - 403
+    - 404
+    - 405
+    - 406
+    - 407
+    - 409
+    - 411
+    - 412
+    - 413
+    - 414
+    - 415
+    - 416
+    - 417
+    - 418
+    - 419
+    - 420
+    - 421
+    - 422
+    - 423
+    - 424
+    - 425
+    - 426
+    - 427
+    - 429
+    - 431
+    - 435
+    - 437
+    - 438
+    - 440
+    - 441
+    - 444
+    - 447
+    - 450
+    - 451
+    - 453
+    - 456
+    - 457
+    - 458
+    - 459
+    - 464
+    - 465
+    - 466
+    - 467
+    - 468
+    - 470
+    - 471
+    - 473
+    - 474
+    - 476
+    - 477
+    - 479
+    - 480
+    - 481
+    - 482
+    - 485
+    - 486
+    - 488
+    - 490
+    - 491
+    - 492
+    - 493
+    - 496
+    - 498
+    - 501
+    - 503
+    - 506
+    - 507
+    - 508
+    - 509
+    - 510
+    - 511
+    - 512
+    - 513
+    - 515
+    - 516
+    - 517
+    - 519
+    - 520
+    - 521
+    - 522
+    - 524
+    - 526
+    - 527
+    - 528
+    - 531
+    - 532
+    - 536
+    - 537
+    - 538
+    - 540
+    - 541
+    - 542
+    - 543
+    - 544
+    - 545
+    - 549
+    - 550
+    - 551
+    - 552
+    - 553
+    - 554
+    - 556
+    - 557
+    - 560
+    - 561
+    - 563
+    - 566
+    - 568
+    - 571
+    - 572
+    - 575
+    - 576
+    - 577
+    - 579
+    - 580
+    - 581
+    - 582
+    - 584
+    - 585
+    - 588
+    - 590
+    - 594
+    - 595
+    - 597
+    - 600
+    - 602
+    - 603
+    - 604
+    - 606
+    - 611
+    - 613
+    - 614
+    - 616
+    - 618
+    - 620
+    - 622
+    - 623
+    - 624
+    - 625
+    - 626
+    - 628
+    - 629
+    - 630
+    - 631
+    - 636
+    - 637
+    - 638
+    - 640
+    - 641
+    - 642
+    - 644
+    - 645
+    - 646
+    - 650
+    - 651
+    - 652
+    - 653
+    - 654
+    - 655
+    - 657
+    - 660
+    - 661
+    - 662
+    - 663
+    - 666
+    - 667
+    - 668
+    - 670
+    - 675
+    - 676
+    - 679
+    - 681
+    - 683
+    - 684
+    - 685
+    - 687
+    - 696
+    - 698
+    - 701
+    - 702
+    - 703
+    - 704
+    - 706
+    - 710
+    - 722
+    - 723
+    - 724
+    - 725
+    - 727
+    - 728
+    - 729
+    - 730
+    - 732
+    - 733
+    - 734
+    - 735
+    - 736
+    - 737
+    system_dropout_fraction_max: 0
+    system_dropout_fraction_min: 0
+    system_dropout_timedeltas_minutes: null
+    time_resolution_minutes: 5
+  satellite:
+    dropout_fraction: 0.2
+    dropout_timedeltas_minutes:
+    - -5
+    - -10
+    - -15
+    forecast_minutes: 0
+    history_minutes: 90
+    live_delay_minutes: 0
+    satellite_channels:
+    - IR_016
+    - IR_039
+    - IR_087
+    - IR_097
+    - IR_108
+    - IR_120
+    - IR_134
+    - VIS006
+    - VIS008
+    - WV_062
+    - WV_073
+    satellite_image_size_pixels_height: 48
+    satellite_image_size_pixels_width: 48
+    satellite_zarr_path: PLACEHOLDER.zarr
+    time_resolution_minutes: 5

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:206e71a094b1618de50e3f0c98ec0d6d117805d11cb91498cef0ec53e774f078
+size 38085554