neu.yaml 1.5 KB

1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859606162636465666768697071727374757677787980818283848586878889909192
  1. Model:
  2. add_train: true
  3. batch_size: 64
  4. dropout_rate: 0.2
  5. epoch: 100
  6. fusion: true
  7. hidden_size: 64
  8. his_points: 16
  9. how_long_fill: 10
  10. input_size: 24
  11. lambda_value_1: 0.02
  12. lambda_value_2: 0.01
  13. learning_rate: 0.001
  14. lstm_layers: 1
  15. output_size: 16
  16. patience: 10
  17. predict_data_fill: true
  18. shuffle_train_data: false
  19. test_data_fill: false
  20. time_step: 16
  21. train_data_fill: true
  22. use_cuda: false
  23. valid_data_rate: 0.15
  24. authentication:
  25. date: '2025-01-08'
  26. full_cap: '2024-04-30'
  27. repair: '2025-01-08'
  28. calculate: []
  29. cap: 50.0
  30. col_time: Datetime
  31. dataloc: ./data
  32. env_columns:
  33. - C_TIME
  34. - C_CELLT
  35. - C_DIFFUSER
  36. - C_GLOBALR
  37. - C_RH
  38. - C_REAL_VALUE
  39. full_field: true
  40. history_hours: 1
  41. new_field: true
  42. features:
  43. - Perssure
  44. - SeaPerssure
  45. - PrecipitationHour
  46. - GroundTemp
  47. - Temp2
  48. - Humidity2
  49. - InstantSpeed10
  50. - InstantDirection10
  51. - PrecipitationDay
  52. - Groundradiation
  53. - Speed10
  54. - Direction10
  55. - Speed30
  56. - Direction30
  57. - Speed50
  58. - Direction50
  59. - Speed70
  60. - Direction70
  61. - Speed90
  62. - Direction90
  63. - Speed100
  64. - Direction100
  65. - HubSpeed
  66. - HubDireciton
  67. features_owner:
  68. - Perssure
  69. - SeaPerssure
  70. - PrecipitationHour
  71. target: Power
  72. repair_days: 81
  73. repair_model_cycle: 5
  74. update_add_train_days: 60
  75. update_coe_days: 3
  76. usable_power:
  77. api_able_power: true
  78. bias: 2.524
  79. clean_power_which: 1
  80. coe: 4
  81. down_fractile: 30
  82. env: C_GLOBALR
  83. k: 0.04079
  84. outliers_threshold: 1.5
  85. up_fractile: 70
  86. version: solar-0.0.1.south
  87. mongodb_database: south_compete
  88. scaler_table: scaler
  89. model_table: model
  90. model_name: fmi
  91. switch_nwp_owner: false
  92. region: south