本文整理汇总了Python中windml.datasets.nrel.NREL.get_windpark方法的典型用法代码示例。如果您正苦于以下问题：Python NREL.get_windpark方法的具体用法？Python NREL.get_windpark怎么用？Python NREL.get_windpark使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类windml.datasets.nrel.NREL的用法示例。
在下文中一共展示了NREL.get_windpark方法的7个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: amount_of_windmills
# 需要导入模块: from windml.datasets.nrel import NREL [as 别名]
# 或者: from windml.datasets.nrel.NREL import get_windpark [as 别名]
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)示例2: NREL
# 需要导入模块: from windml.datasets.nrel import NREL [as 别名]
# 或者: from windml.datasets.nrel.NREL import get_windpark [as 别名]
# Author: Oliver Kramer <[email protected]>
# License: BSD 3 clause
from __future__ import print_function
import sklearn
import numpy as np
import pylab as plt
from sklearn import manifold, decomposition
from builtins import range
from windml.datasets.nrel import NREL
# load data and define parameters / training and test sequences
K = 30
ds = NREL()
windpark = ds.get_windpark(NREL.park_id['tehachapi'], 10, 2004)
X = np.array(windpark.get_powermatrix())
X_train = X[:2000]
X_test = X[2000:2000 + 200 * 4]
# computation of ISOMAP projection
print("computation of ISOMAP projection")
X_latent = manifold.Isomap(K, n_components=2).fit_transform(X_train)
# computation of sequence of closest embedded patterns
sequence = []
for x in X_test:
win = 0
smallest = 10E100示例3: test_get_windpark
# 需要导入模块: from windml.datasets.nrel import NREL [as 别名]
# 或者: from windml.datasets.nrel.NREL import get_windpark [as 别名]
def test_get_windpark(self):
ds = NREL()
windpark = ds.get_windpark(NREL.park_id['tehachapi'], 10, 2004, 2005)
assert(len(windpark.mills) == 66)示例4: setUpClass
# 需要导入模块: from windml.datasets.nrel import NREL [as 别名]
# 或者: from windml.datasets.nrel.NREL import get_windpark [as 别名]
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()示例5: setUpClass
# 需要导入模块: from windml.datasets.nrel import NREL [as 别名]
# 或者: from windml.datasets.nrel.NREL import get_windpark [as 别名]
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)示例6: setUpClass
# 需要导入模块: from windml.datasets.nrel import NREL [as 别名]
# 或者: from windml.datasets.nrel.NREL import get_windpark [as 别名]
def setUpClass(cls):
ds = NREL()
cls.turbine = ds.get_turbine(NREL.park_id['tehachapi'], 2004)
cls.windpark = ds.get_windpark(NREL.park_id['tehachapi'], 3, 2004)示例7: strengths
# 需要导入模块: from windml.datasets.nrel import NREL [as 别名]
# 或者: from windml.datasets.nrel.NREL import get_windpark [as 别名]
"""
Flip-Book of Wind Speed
-------------------------------------------------------------------------
This example illustrates the wind speed of the turbines in the park
'tehachapi'. The figures visualize the wind situation at four different times
(with a difference of 20 min). The turbines are colorized with regard to the
wind strengths (from strong in red to low in blue).
"""
# Author: Nils A. Treiber <[email protected]>
# License: BSD 3 clause
from windml.datasets.nrel import NREL
from windml.visualization.show_flip_book import show_flip_book
ds = NREL()
windpark = ds.get_windpark(NREL.park_id["tehachapi"], 30, 2004)
show_flip_book(windpark, 4, 3460, 2)