47 lines
1.8 KiB
Python
47 lines
1.8 KiB
Python
import pandas as pd
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import numpy as np
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import csv
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import json
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with open('config.json', 'r') as f:
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js_data = json.load(f)
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pv_yield_file_name = js_data["data_path"]["pv_yield"]
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print(pv_yield_file_name)
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# factory_demand_file_name = 'factory_power1.xlsx'
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factory_demand_file_name = js_data["data_path"]["demand"]
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print(factory_demand_file_name)
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electricity_price_data = js_data["data_path"]["buy"]
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print(electricity_price_data)
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electricity_price_data_sell = js_data["data_path"]["sell"]
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print(electricity_price_data_sell)
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pv_df = pd.read_csv(pv_yield_file_name, index_col='Time', usecols=['Time', 'PV yield[kW/kWp]'])
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pv_df.index = pd.to_datetime(pv_df.index)
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df_power = pd.read_csv(factory_demand_file_name, index_col='Time', usecols=['Time', 'FactoryPower'])
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df_power.index = pd.to_datetime(df_power.index)
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df_combined = pv_df.join(df_power)
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price_df = pd.read_csv(electricity_price_data, index_col='Time', usecols=['Time', 'ElectricityBuy'])
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price_df.index = pd.to_datetime(price_df.index)
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price_df = price_df.reindex(df_combined.index)
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df_combined2 = df_combined.join(price_df)
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sell_df = pd.read_csv(electricity_price_data_sell, index_col='Time', usecols=['Time', 'ElectricitySell'])
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sell_df.index = pd.to_datetime(sell_df.index)
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sell_df = sell_df.reindex(df_combined.index)
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df_combined3 = df_combined2.join(sell_df)
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with open('combined_data.csv', 'w', newline='') as file:
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writer = csv.writer(file)
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writer.writerow(['time', 'PV yield[kW/kWp]', 'demand','buy', 'sell'])
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cnt = 0
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for index, row in df_combined3.iterrows():
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time_formatted = index.strftime('%H:%M')
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writer.writerow([time_formatted, row['PV yield[kW/kWp]'], row['FactoryPower'],row['ElectricityBuy'], row['ElectricitySell']])
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print('The file is written to combined_data.csv')
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print("Simulation data with electricity prices has been updated and saved.") |