iicd/simple-pv-simulator
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update generate data code

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Hanzhang Ma
2024-05-13 16:47:56 +02:00
parent ad9b5e6a19
commit 4f1a47d505
2 changed files with 20849 additions and 20861 deletions
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41688
combined_data.csv
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read_data.py
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@@ -2,39 +2,27 @@ import pandas as pd
import numpy as np import numpy as np
import csv import csv
pv_yield_file_name = 'read_data/Riyahd.csv' pv_yield_file_name = 'read_data/Serbia.csv'
factory_demand_file_name = 'factory_power1.xlsx' # factory_demand_file_name = 'factory_power1.xlsx'
factory_demand_file_name = 'factory_power1.csv'
electricity_price_data = 'electricity_price_data.csv' electricity_price_data = 'electricity_price_data.csv'
electricity_price_data_sell = 'electricity_price_data_sell.csv' electricity_price_data_sell = 'electricity_price_data_sell.csv'
pv_df = pd.read_csv(pv_yield_file_name, index_col='Time', usecols=['Time', 'PV yield[kW/kWp]']) pv_df = pd.read_csv(pv_yield_file_name, index_col='Time', usecols=['Time', 'PV yield[kW/kWp]'])
pv_df.index = pd.to_datetime(pv_df.index) pv_df.index = pd.to_datetime(pv_df.index)
start_date = '2023-01-01' df_power = pd.read_csv('factory_power1.csv', index_col='Time', usecols=['Time', 'FactoryPower'])
df_power = pd.read_excel(factory_demand_file_name, df_power.index = pd.to_datetime(df_power.index)
header=None,
names=['FactoryPower'],
dtype={'FactoryPower': float})
times = pd.date_range(start=start_date, periods=len(df_power), freq='15min')
df_power['Time'] = times
df_power.set_index('Time',inplace=True)
print(df_power.head())
df_combined = pv_df.join(df_power) df_combined = pv_df.join(df_power)
price_df = pd.read_csv(electricity_price_data, index_col='Time', usecols=['Time', 'ElectricityBuy']) price_df = pd.read_csv(electricity_price_data, index_col='Time', usecols=['Time', 'ElectricityBuy'])
price_df.index = pd.to_datetime(price_df.index) price_df.index = pd.to_datetime(price_df.index)
price_df = price_df.reindex(df_combined.index) price_df = price_df.reindex(df_combined.index)
print("Electricity price data generated and saved.")
df_combined2 = df_combined.join(price_df) df_combined2 = df_combined.join(price_df)
sell_df = pd.read_csv(electricity_price_data_sell, index_col='Time', usecols=['Time', 'ElectricitySell']) sell_df = pd.read_csv(electricity_price_data_sell, index_col='Time', usecols=['Time', 'ElectricitySell'])
sell_df.index = pd.to_datetime(sell_df.index) sell_df.index = pd.to_datetime(sell_df.index)
sell_df = sell_df.reindex(df_combined.index) sell_df = sell_df.reindex(df_combined.index)
df_combined3 = df_combined2.join(sell_df) df_combined3 = df_combined2.join(sell_df)
with open('combined_data.csv', 'w', newline='') as file: with open('combined_data.csv', 'w', newline='') as file: