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16 lines
656 B
Python
16 lines
656 B
Python
import torch
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import pandas as pd
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from 电压等级_输入10_输出3 import LSTM_Regression
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from 电压等级_输入10_输出3 import create_dataset
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model = LSTM_Regression(10, 32, output_size=5, num_layers=2)
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model.load_state_dict(torch.load('dy5.pth'))
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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 ')
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df_eval.columns = df_eval.columns.map(lambda x:x.strip())
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df_eval.index = pd.to_datetime(df_eval.index)
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x,y = create_dataset(df_eval.loc['2023-10']['10kv以下'],10)
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x = x.reshape(-1,1,10)
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print(x.shape,y.shape)
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x = torch.from_numpy(x).type(torch.float32)
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print(model(x),y) |