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@ -361,7 +361,9 @@ parameter = {
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}
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# Initialize the optimization problem
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opt_class = optimization_problem(prediction_hours=48, strafe=10, optimization_hours=24, verbose=True)
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opt_class = optimization_problem(
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prediction_hours=48, strafe=10, optimization_hours=24, verbose=True
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)
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# Perform the optimisation based on the provided parameters and start hour
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ergebnis = opt_class.optimierung_ems(parameter=parameter, start_hour=start_hour)
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@ -2,12 +2,14 @@ import pytest
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from modules.class_akku import PVAkku
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from modules.class_ems import EnergieManagementSystem
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from modules.class_inverter import Wechselrichter # Example import
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from modules.class_haushaltsgeraet import Haushaltsgeraet
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from modules.class_inverter import Wechselrichter # Example import
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prediction_hours = 48
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optimization_hours = 24
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start_hour = 1
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# Example initialization of necessary components
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@pytest.fixture
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def create_ems_instance():
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@ -297,7 +299,7 @@ def test_simulation(create_ems_instance):
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abs(result["Gesamteinnahmen_Euro"] - 1.237432954545454) < 1e-5
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), "Total revenue should be 1.237432954545454."
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assert (
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abs(result["Gesamtkosten_Euro"] - 10.329075084000001 ) < 1e-5
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abs(result["Gesamtkosten_Euro"] - 10.329075084000001) < 1e-5
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), "Total costs should be 10.329075084000001 ."
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# Check the losses
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@ -322,5 +324,4 @@ def test_simulation(create_ems_instance):
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sum(result["Haushaltsgeraet_wh_pro_stunde"]) == 2000
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), "The sum of 'Haushaltsgeraet_wh_pro_stunde' should be 2000."
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print("All tests passed successfully.")
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