Model:
  batch_size: 64
  dropout_rate: 0.2
  epoch: 20
  hidden_size: 128
  learning_rate: 0.001
  lstm_layers: 2
  patience: 5
  random_seed: 42
  time_step: 16
add_train: false
continue_flag: ''
data_format:
  dq: dq.xls
  envir: "\u73AF\u5883\u6570\u636E.xls"
  nwp: nwp.xls
  rp: rp.xls
debug_model: false
debug_num: 500
do_continue_train: false
do_figure_save: false
do_log_print_to_screen: true
do_log_save_to_file: true
do_predict: true
do_train: true
do_train_visualized: True
excel_data_path: ./data/J00307/
figure_save_path: ./figure/
is_continuous_predict: False
log_save_path: ./log/
mean:
  C_AIRT: 10.305992230762874
  C_CELLT: 10.664897925448384
  C_DIFFUSER: 143.2639061079428
  C_DIFFUSERDA: 6.571077155136789
  C_DIRECTR: 68.21328208942887
  C_DIRECTRDA: 3.163283039920654
  C_FORECAST: 3.1419734966774113
  C_GLOBALR: 173.2587817174973
  C_GLOBALRDA: 7.756491280271097
  C_HOURDA: 1.998222150590958
  C_P: 947.7830440532276
  C_RH: 55.59672286965865
  C_VALUE: 3.404744648318043
  C_WD: 212.88300686007108
  C_WS: 1.802446483180428
model_postfix:
  keras: .h5
  pytorch: .pth
  tensorflow: .ckpt
predict_points: 16
shuffle_train_data: false
std:
  C_AIRT: 12.127220611319888
  C_CELLT: 12.654848145970181
  C_DIFFUSER: 230.93680419867772
  C_DIFFUSERDA: 6.4933162833681415
  C_DIRECTR: 166.61348332191056
  C_DIRECTRDA: 4.991297839913351
  C_FORECAST: 4.447082956749344
  C_GLOBALR: 258.87947949591955
  C_GLOBALRDA: 7.9174382136573955
  C_HOURDA: 2.9110230573747247
  C_P: 25.75152505719027
  C_RH: 22.445059526990818
  C_VALUE: 5.013868885103326
  C_WD: 112.90029001408325
  C_WS: 1.6575249140627502
train_data_path: ./data/
train_data_rate: 0.9
use_cuda: false
used_frame: keras
valid_data_rate: 0.15

is_photovoltaic: True
cap: 20
envir_columns: 16