def amount_of_windmills(radius, park):
    target = NREL.park_id[park]
    ds = NREL()
    windpark = ds.get_windpark(target, radius, 2004, 2005)
    target = ds.get_windmill(target, 2004, 2005)
    windmills = windpark.get_windmills()
    return len(windmills)
Beispiel #2
0
"""
Time-Series of Wind Speed and Power
--------------------------------------------------

This example plots a time-series of a single 
wind mill in the wind park 'tehachapi'.
"""

from matplotlib import dates
import matplotlib.pylab as plt
import numpy as np
import datetime, time

from windml.datasets.nrel import NREL
from windml.visualization.plot_timeseries import plot_timeseries

ds = NREL()
mill = ds.get_windmill(NREL.park_id['tehachapi'], 2004)
plot_timeseries(mill)
"""
Histogram of Wind Speeds of a Wind Mill
-------------------------------------------------------------

Histograms of wind speeds of a wind mill near Cheyenne in the year 2004.
"""

import matplotlib.pyplot as plt
from pylab import plt
from windml.datasets.nrel import NREL

ds = NREL()
mill = ds.get_windmill(NREL.park_id['cheyenne'], 2004)
speeds = map(lambda x : x[2], mill.measurements)

plt.hist(speeds, color="#c4d8eb", bins=10, normed = 1)
plt.show()
Beispiel #4
0
 def test_get_windmill(self):
     ds = NREL()
     target = ds.get_windmill(NREL.park_id['tehachapi'], 2004, 2005)
     t = target.get_measurements()[0]
     assert(len(t) == 3)
Beispiel #5
0
 def setUpClass(cls):
     ds = NREL()
     cls.windmill = ds.get_windmill(NREL.park_id['tehachapi'], 2004, 2005)
     cls.windpark = ds.get_windpark(NREL.park_id['tehachapi'], 3, 2004, 2005)
     cls.pmapping = PowerMapping()
     cls.pdmapping = PowerDiffMapping()
 def setUpClass(cls):
     ds = NREL()
     cls.windmill = ds.get_windmill(NREL.park_id['tehachapi'], 2004)
     cls.windpark = ds.get_windpark(NREL.park_id['tehachapi'], 3, 2004)