config.yml 1.4 KB

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  1. doc_mapping:
  2. basic: DQYC_IN_BASIC
  3. station_info_w: DQYC_IN_PLANT_WIND
  4. station_info_d_w: DQYC_IN_PLANT_DETAIL_WIND
  5. station_info_s: DQYC_IN_PLANT_SOLAR
  6. station_info_d_s: DQYC_IN_PLANT_DETAIL_SOLAR
  7. nwp_w: DQYC_IN_FORECAST_WEATHER_WIND # 风光气象
  8. nwp_s: DQYC_IN_FORECAST_WEATHER_SOLAR
  9. nwp_w_h: DQYC_IN_FORECAST_WEATHER_WIND_H
  10. nwp_s_h: DQYC_IN_FORECAST_WEATHER_SOLAR_H
  11. power: DQYC_IN_HISTORY_POWER_LONG
  12. nwp_v: DQYC_IN_FORECAST_WEATHER # 多版本气象
  13. nwp_v_h: DQYC_IN_FORECAST_WEATHER_H
  14. nwp_own: DQYC_IN_FORECAST_WEATHER
  15. nwp_own_h: DQYC_IN_FORECAST_WEATHER_H # 自有气象
  16. env_wf: DQYC_IN_ACTUAL_WEATHER_WIND
  17. env_sf: DQYC_IN_ACTUAL_WEATHER_SOLAR' # 实测气象
  18. doc_area_mapping:
  19. basic: DQYC_AREA_IN_BASIC
  20. power: DQYC_AREA_IN_HISTORY_POWER_LONG
  21. switch_nwp_owner: false
  22. system:
  23. max_workers: 10
  24. gpu_devices:
  25. - 1
  26. - 2
  27. Model:
  28. add_train: true
  29. batch_size: 64
  30. dropout_rate: 0.2
  31. epoch: 200
  32. fusion: true
  33. hidden_size: 64
  34. his_points: 16
  35. how_long_fill: 10
  36. input_size: 24
  37. lambda_value_1: 0.02
  38. lambda_value_2: 0.01
  39. learning_rate: 0.001
  40. lstm_layers: 1
  41. output_size: 16
  42. patience: 10
  43. predict_data_fill: true
  44. shuffle_train_data: false
  45. test_data_fill: false
  46. time_step: 16
  47. train_data_fill: true
  48. use_cuda: false
  49. valid_data_rate: 0.15
  50. input_file: E:/compete/app/model/data/DQYC/qy/62/1002/2025-04-21/IN
  51. model_name: lstm