You cannot select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
|
|
|
|
import torch
|
|
|
|
|
import pandas as pd
|
|
|
|
|
from 电压等级_输入10_输出3 import LSTM_Regression
|
|
|
|
|
from 电压等级_输入10_输出3 import create_dataset
|
|
|
|
|
model = LSTM_Regression(10, 32, output_size=5, num_layers=2)
|
|
|
|
|
model.load_state_dict(torch.load('dy5.pth'))
|
|
|
|
|
|
|
|
|
|
df_eval = pd.read_excel(r'C:\Users\user\Desktop\浙江各地市分电压日电量数据\杭州.xlsx',index_col=' stat_date ')
|
|
|
|
|
df_eval.columns = df_eval.columns.map(lambda x:x.strip())
|
|
|
|
|
df_eval.index = pd.to_datetime(df_eval.index)
|
|
|
|
|
|
|
|
|
|
x,y = create_dataset(df_eval.loc['2023-10']['10kv以下'],10)
|
|
|
|
|
x = x.reshape(-1,1,10)
|
|
|
|
|
print(x.shape,y.shape)
|
|
|
|
|
x = torch.from_numpy(x).type(torch.float32)
|
|
|
|
|
print(model(x),y)
|
