forked from s_ranjbar/city_retrofit
20 lines
716 B
Python
20 lines
716 B
Python
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import math
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import pandas as pd
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import helpers.constants as cte
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class Weather(object):
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@staticmethod
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def sky_temperature(ambient_temperature):
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# Swinbank - Fuentes sky model approximation(1963) based on cloudiness statistics(32 %) in United States
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# ambient temperatures( in °C)
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# sky temperatures( in °C)
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_ambient_temperature = ambient_temperature[['temperature']].to_numpy()
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values = []
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for temperature in _ambient_temperature:
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value = 0.037536 * math.pow((temperature + cte.celsius_to_kelvin), 1.5) \
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+ 0.32 * (temperature + cte.celsius_to_kelvin) - cte.celsius_to_kelvin
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values.append(value)
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return pd.DataFrame(values, columns=['sky temperature'])
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