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@ -166,12 +166,6 @@ class HourlyElectricityPriceForecast:
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axis=0,
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weights=np.array([1, 2, 4, 8, 16, 32, 64]) / np.sum(np.array([1, 2, 4, 8, 16, 32, 64])),
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)
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return average_prices
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average_prices = np.average(
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price_matrix,
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axis=0,
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weights=np.array([1, 2, 4, 8, 16, 32, 64]) / np.sum(np.array([1, 2, 4, 8, 16, 32, 64])),
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)
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final_weights = np.linspace(1, 0, price_matrix.shape[1])
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