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Pfadkonstruktion OS-uebergreifend
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5
test.py
5
test.py
@ -12,6 +12,7 @@ from modules.visualize import *
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from deap import base, creator, tools, algorithms
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from deap import base, creator, tools, algorithms
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import numpy as np
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import numpy as np
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import random
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import random
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import os
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date = "2024-02-16"
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date = "2024-02-16"
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@ -38,12 +39,12 @@ specific_date_load = lf.get_daily_stats(date)[0,...] # Datum anpassen
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pprint(specific_date_load.shape)
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pprint(specific_date_load.shape)
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# PV Forecast
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# PV Forecast
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PVforecast = PVForecast(r'.\test_data\pvprognose.json')
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PVforecast = PVForecast(os.path.join(r'test_data', r'pvprognose.json'))
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pv_forecast = PVforecast.get_forecast_for_date(date)
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pv_forecast = PVforecast.get_forecast_for_date(date)
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pprint(pv_forecast.shape)
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pprint(pv_forecast.shape)
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# Strompreise
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# Strompreise
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filepath = r'.\test_data\strompreis.json' # Pfad zur JSON-Datei anpassen
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filepath = os.path.join (r'test_data', r'strompreis.json') # Pfad zur JSON-Datei anpassen
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price_forecast = HourlyElectricityPriceForecast(filepath)
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price_forecast = HourlyElectricityPriceForecast(filepath)
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specific_date_prices = price_forecast.get_prices_for_date(date)
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specific_date_prices = price_forecast.get_prices_for_date(date)
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