def artificial_data():
"""Generate 50 data points spaced of 1 hour
Ti: Indoor temperature
To: Outdoor temperature
Tb: Boundary temperature
Qgh: Global horizontal solar radiation
Qh: Heat supplied by heaters
Qv: Heat supplied by ventilation
"""
n = 50 # number of points
df = pd.DataFrame({
'Ti':
generate_sine(n=n, amplitude=3.0, phase=np.pi / 3.0, offset=20.0)[1],
'To':
generate_sine(n=n)[1],
'Tb':
generate_sine(n=n, amplitude=2.0, phase=np.pi / 4.0, offset=14.0)[1],
'Qgh':
generate_sine(n=n, amplitude=800.0, clip_to_0=True)[1],
'Qh':
generate_random_binary(n=n),
'Qv':
generate_sine(n=n, amplitude=200.0, offset=100.0)[1],
})
df.index /= sT
return df
def data_Periodic():
"""Generate artificial data for Periodic covariance"""
t, y = generate_sine(n=50,
bounds=(0, 2),
period=1.0,
amplitude=1.0,
random=True,
noise_std=0.3)
return pd.DataFrame(index=t, data=y, columns=['y'])