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Strompreise aus URL möglich, Source unsere API + pers. Cache
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22
test.py
22
test.py
@@ -28,22 +28,32 @@ akku = PVAkku(akku_size)
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discharge_array = np.full(24,1)
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# Load Forecast
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###############
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lf = LoadForecast(filepath=r'load_profiles.npz', year_energy=year_energy)
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leistung_haushalt = lf.get_daily_stats(date)[0,...] # Datum anpassen
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pprint(leistung_haushalt.shape)
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# PV Forecast
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###############
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#PVforecast = PVForecast(filepath=os.path.join(r'test_data', r'pvprognose.json'))
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PVforecast = PVForecast(url="https://api.akkudoktor.net/forecast?lat=50.8588&lon=7.3747&power=5400&azimuth=-10&tilt=7&powerInvertor=2500&horizont=20,40,30,30&power=4800&azimuth=-90&tilt=7&powerInvertor=2500&horizont=20,40,45,50&power=1480&azimuth=-90&tilt=70&powerInvertor=1120&horizont=60,45,30,70&power=1600&azimuth=5&tilt=60&powerInvertor=1200&horizont=60,45,30,70&past_days=5&cellCoEff=-0.36&inverterEfficiency=0.8&albedo=0.25&timezone=Europe%2FBerlin&hourly=relativehumidity_2m%2Cwindspeed_10m")
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pv_forecast = PVforecast.get_forecast_for_date(date)
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temperature_forecast = PVforecast.get_temperature_forecast_for_date(date)
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pprint(pv_forecast)
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sys.exit()
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pprint(pv_forecast.shape)
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# Strompreise
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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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specific_date_prices = price_forecast.get_prices_for_date(date)
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###############
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filepath = os.path.join (r'test_data', r'strompreise_akkudokAPI.json') # Pfad zur JSON-Datei anpassen
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#price_forecast = HourlyElectricityPriceForecast(source=filepath)
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price_forecast = HourlyElectricityPriceForecast(source="https://api.akkudoktor.net/prices?start="+date+"&end="+date+"")
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specific_date_prices = price_forecast.get_price_for_date(date)
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pprint(f"Preise für {date}: {specific_date_prices}")
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# WP
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leistung_wp = wp.simulate_24h(temperature_forecast)
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