def test_CAISO_wind_forecasts_ARMA_seed_1234(self):
parm_dict = {
"-xf":
self.wind_data,
"-f":
"forecasts",
"-s":
"1134",
"-is":
str(datetime(year=2014, month=7, day=1, hour=0, minute=0,
second=0)),
"-ie":
str(datetime(year=2014, month=8, day=1, hour=0, minute=0,
second=0)),
"-ss":
str(datetime(year=2014, month=7, day=2, hour=0, minute=0,
second=0)),
"-se":
str(
datetime(year=2014,
month=7,
day=31,
hour=0,
minute=0,
second=0))
}
parm_list = []
for i, j in parm_dict.items():
if j is not None:
parm_list += [i, j]
else:
parm_list += [i]
# run the test
args = self.parser.parse_args(parm_list)
mapemain.main(args)
def test_wind_actuals_iid_seed_1234(self):
print("Running ", str(self.id()).split('.')[2])
parm_dict = {
"-xf":
self.wind_data,
"-bp":
"iid",
"-s":
"1234",
"-ss":
str(datetime(year=2020, month=3, day=2, hour=0, minute=0,
second=0)),
"-se":
str(datetime(year=2020, month=4, day=2, hour=0, minute=0,
second=0)),
"-is":
str(datetime(year=2020, month=3, day=1, hour=0, minute=0,
second=0)),
"-ie":
str(datetime(year=2020, month=6, day=1, hour=0, minute=0,
second=0))
}
parm_list = []
for i, j in parm_dict.items():
if j is not None:
parm_list += [i, j]
else:
parm_list += [i]
# run the test
args = self.parser.parse_args(parm_list)
mapemain.main(args)
def test_CAISO_wind_actuals_ARMA_seed_1234(self):
parm_dict = {
'-xf':
self.wind_data,
'-s':
"1234",
'-is':
str(datetime(year=2014, month=7, day=1, hour=0, minute=0,
second=0)),
'-ie':
str(datetime(year=2014, month=8, day=1, hour=0, minute=0,
second=0)),
'-ss':
str(datetime(year=2014, month=7, day=2, hour=0, minute=0,
second=0)),
'-se':
str(
datetime(year=2014,
month=7,
day=31,
hour=0,
minute=0,
second=0))
}
parm_list = []
for i, j in parm_dict.items():
if j is not None:
parm_list += [i, j]
else:
parm_list += [i]
# run the test
args = self.parser.parse_args(parm_list)
mapemain.main(args)
def test_wind_forecasts_ARMA_seed_1234(self):
print("Running ", str(self.id()).split('.')[2])
parm_dict = {
"-xf":
file_path + dir_sep + "rts_gmlc" + dir_sep +
"WIND_forecasts_actuals.csv",
"-sf":
file_path + dir_sep + "rts_gmlc" + dir_sep +
"WIND_forecasts_actuals.csv",
"-f":
"forecasts",
"-s":
"1234",
"-is":
str(datetime(year=2020, month=2, day=1, hour=0, minute=0,
second=0)),
"-ie":
str(
datetime(year=2020,
month=8,
day=31,
hour=23,
minute=0,
second=0)),
"-ss":
str(
datetime(year=2020,
month=11,
day=1,
hour=0,
minute=0,
second=0)),
"-se":
str(
datetime(year=2020,
month=11,
day=7,
hour=0,
minute=0,
second=0))
}
parm_list = []
for i, j in parm_dict.items():
if j is not None:
parm_list += [i, j]
else:
parm_list += [i]
# run the test
args = self.parser.parse_args(parm_list)
mapemain.main(args)
def test_Bus_220_Load_forecasts_ARMA(self):
print("Running ", str(self.id()).split('.')[2])
parm_dict = {
"-xf":
self.load_data,
"-f":
"forecasts",
"-is":
str(
datetime(year=2020,
month=1,
day=10,
hour=0,
minute=0,
second=0)),
"-ie":
str(
datetime(year=2020,
month=5,
day=20,
hour=0,
minute=0,
second=0)),
"-ss":
str(
datetime(year=2020,
month=1,
day=11,
hour=0,
minute=0,
second=0)),
"-se":
str(
datetime(year=2020,
month=4,
day=20,
hour=23,
minute=0,
second=0))
}
parm_list = []
for i, j in parm_dict.items():
if j is not None:
parm_list += [i, j]
else:
parm_list += [i]
# run the test
args = self.parser.parse_args(parm_list)
mapemain.main(args)
def test_wind_actuals_ARMA_seed_1234(self):
print("Running ", str(self.id()).split('.')[2])
parm_dict = {
"-xf":
file_path + dir_sep + "rts_gmlc" + dir_sep +
"WIND_forecasts_actuals.csv",
"-s":
"1234",
"-is":
str(datetime(year=2020, month=2, day=1, hour=0, minute=0,
second=0)),
"-ie":
str(
datetime(year=2020,
month=10,
day=31,
hour=23,
minute=0,
second=0)),
"-ss":
str(
datetime(year=2020,
month=11,
day=1,
hour=0,
minute=0,
second=0)),
"-se":
str(
datetime(year=2020,
month=11,
day=7,
hour=0,
minute=0,
second=0))
}
parm_list = []
for i, j in parm_dict.items():
if j is not None:
parm_list += [i, j]
else:
parm_list += [i]
# run the test
args = self.parser.parse_args(parm_list)
with self.assertRaises(RuntimeError) as context:
mapemain.main(args)
self.assertTrue(
'< 1, there is a prevalence of high power input in the SID' in str(
context.exception))
def test_CAISO_actuals_iid_seed_1234(self):
print("Running ", str(self.id()).split('.')[2])
parm_dict = {
"-xf":
file_path + dir_sep + "CAISO_wind_operational_data.csv",
"-bp":
"iid",
"-s":
"1234",
"-is":
str(datetime(year=2013, month=7, day=1, hour=0, minute=0,
second=0)),
"-ie":
str(
datetime(year=2013,
month=12,
day=30,
hour=23,
minute=0,
second=0)),
"-ss":
str(
datetime(year=2015,
month=6,
day=29,
hour=23,
minute=0,
second=0)),
"-se":
str(
datetime(year=2015,
month=6,
day=30,
hour=23,
minute=0,
second=0))
}
parm_list = []
for i, j in parm_dict.items():
if j is not None:
parm_list += [i, j]
else:
parm_list += [i]
# run the test
args = self.parser.parse_args(parm_list)
mapemain.main(args)
def test_bpa_2012_to_2013_actuals_iid_seed_1234(self):
parm_dict = {
"-xf":
file_path + dir_sep + "2012-2013_BPA_forecasts_actuals.csv",
"-sf":
file_path + dir_sep +
"wind_total_forecast_actual_070113_063015.csv",
"-bp":
"iid",
"-s":
"1234",
"-is":
str(datetime(year=2012, month=6, day=3, hour=0, minute=0,
second=0)),
"-ie":
str(datetime(year=2013, month=8, day=3, hour=0, minute=0,
second=0)),
"-ss":
str(
datetime(year=2015,
month=6,
day=23,
hour=0,
minute=0,
second=0)),
"-se":
str(
datetime(year=2015,
month=6,
day=30,
hour=0,
minute=0,
second=0))
}
parm_list = []
for i, j in parm_dict.items():
if j is not None:
parm_list += [i, j]
else:
parm_list += [i]
# run the test
args = self.parser.parse_args(parm_list)
mapemain.main(args)
def test_wind_actuals_ARMA_seed_1234(self):
parm_dict = {
"-xf":
file_path + dir_sep +
"wind_total_forecast_actual_070113_063015.csv",
"-sf":
file_path + dir_sep + "rts_gmlc" + dir_sep +
"WIND_forecasts_actuals.csv",
"-s":
"1234",
"-is":
str(datetime(year=2013, month=8, day=1, hour=0, minute=0,
second=0)),
"-ie":
str(
datetime(year=2014,
month=6,
day=30,
hour=23,
minute=0,
second=0)),
"-ss":
str(datetime(year=2020, month=2, day=1, hour=0, minute=0,
second=0)),
"-se":
str(
datetime(year=2020,
month=12,
day=31,
hour=0,
minute=0,
second=0))
}
parm_list = []
for i, j in parm_dict.items():
if j is not None:
parm_list += [i, j]
else:
parm_list += [i]
# run the test
args = self.parser.parse_args(parm_list)
mapemain.main(args)
def test_CAISO_wind_actuals_iid_seed_1134(self):
parm_dict = {
"-xf":
self.wind_data,
"-bp":
"iid",
"-s":
"1134",
"-is":
str(datetime(year=2014, month=1, day=1, hour=0, minute=0,
second=0)),
"-ie":
str(
datetime(year=2014,
month=10,
day=1,
hour=0,
minute=0,
second=0)),
"-ss":
str(datetime(year=2014, month=1, day=2, hour=0, minute=0,
second=0)),
"-se":
str(
datetime(year=2014,
month=9,
day=30,
hour=0,
minute=0,
second=0))
}
parm_list = []
for i, j in parm_dict.items():
if j is not None:
parm_list += [i, j]
else:
parm_list += [i]
# run the test
args = self.parser.parse_args(parm_list)
mapemain.main(args)
def test_wind_forecasts_iid_seed_1234(self):
print("Running ", str(self.id()).split('.')[2])
parm_dict = {
"-xf":
self.wind_data,
"-f":
"forecasts",
"-bp":
"iid",
"-s":
"1234",
"-ss":
str(datetime(year=2020, month=3, day=2, hour=0, minute=0,
second=0)),
"-se":
str(datetime(year=2020, month=4, day=2, hour=0, minute=0,
second=0)),
"-is":
str(datetime(year=2020, month=3, day=1, hour=0, minute=0,
second=0)),
"-ie":
str(datetime(year=2020, month=6, day=1, hour=0, minute=0,
second=0))
}
parm_list = []
for i, j in parm_dict.items():
if j is not None:
parm_list += [i, j]
else:
parm_list += [i]
# run the test
args = self.parser.parse_args(parm_list)
with self.assertRaises(RuntimeError) as context:
mapemain.main(args)
self.assertTrue(
'< 1, there is a prevalence of high power input in the SID' in str(
context.exception))
def test_CAISO_wind_actuals_cap_maxx(self):
# 1st run
parm_dict = {
'-xf':
self.wind_data,
'-s':
"1234",
'-is':
str(datetime(year=2014, month=7, day=1, hour=0, minute=0,
second=0)),
'-ie':
str(datetime(year=2014, month=8, day=1, hour=0, minute=0,
second=0)),
'-ss':
str(datetime(year=2014, month=7, day=2, hour=0, minute=0,
second=0)),
'-se':
str(
datetime(year=2014,
month=7,
day=31,
hour=0,
minute=0,
second=0)),
'-sb':
"0",
'-o':
"test_output"
} # output dir
parm_list = []
for i, j in parm_dict.items():
if j is not None:
parm_list += [i, j]
else:
parm_list += [i]
args = self.parser.parse_args(parm_list)
outputpath = 'test_output/simulations_of_target_mape_9.2.csv'
mapemain.main(args)
l = pd.read_csv(outputpath)
test_numbers = l.iloc[:, 1] # 2nd column
single_test_number_1 = test_numbers[1]
# 2nd run
parm_dict = {
'-xf':
self.wind_data,
'-s':
"1234",
'-is':
str(datetime(year=2014, month=7, day=1, hour=0, minute=0,
second=0)),
'-ie':
str(datetime(year=2014, month=8, day=1, hour=0, minute=0,
second=0)),
'-ss':
str(datetime(year=2014, month=7, day=2, hour=0, minute=0,
second=0)),
'-se':
str(
datetime(year=2014,
month=7,
day=31,
hour=0,
minute=0,
second=0)),
'-sb':
"0",
'-o':
"test_output_another"
}
parm_list = []
for i, j in parm_dict.items():
if j is not None:
parm_list += [i, j]
else:
parm_list += [i]
args = self.parser.parse_args(parm_list)
outputpath_2 = 'test_output_another/simulations_of_target_mape_9.2.csv'
mapemain.main(args)
l = pd.read_csv(outputpath_2)
test_numbers = l.iloc[:, 1]
single_test_number_2 = test_numbers[1]
self.assertEqual(single_test_number_1, single_test_number_2)
def test_CAISO_wind_actuals_cap_scale(self):
# 1st run, use -ts scale to 100
parm_dict = {
'-xf':
self.wind_data,
'-s':
"1234",
'-is':
str(datetime(year=2014, month=7, day=1, hour=0, minute=0,
second=0)),
'-ie':
str(datetime(year=2014, month=8, day=1, hour=0, minute=0,
second=0)),
'-ss':
str(datetime(year=2014, month=7, day=2, hour=0, minute=0,
second=0)),
'-se':
str(
datetime(year=2014,
month=7,
day=31,
hour=0,
minute=0,
second=0)),
'-v':
"0",
'-sb':
"0",
'-ts':
"100",
'-o':
"test_output"
} # output dir
parm_list = []
for i, j in parm_dict.items():
if j is not None:
parm_list += [i, j]
else:
parm_list += [i]
args = self.parser.parse_args(parm_list)
outputpath = 'test_output/simulations_of_target_mape_9.2.csv'
mapemain.main(args)
l = pd.read_csv(outputpath)
test_numbers = l.iloc[:, 1] # 2nd column
single_test_number_1 = test_numbers[1]
# 2nd run, same as 1st run
parm_dict = {
'-xf':
self.wind_data,
'-s':
"1234",
'-is':
str(datetime(year=2014, month=7, day=1, hour=0, minute=0,
second=0)),
'-ie':
str(datetime(year=2014, month=8, day=1, hour=0, minute=0,
second=0)),
'-ss':
str(datetime(year=2014, month=7, day=2, hour=0, minute=0,
second=0)),
'-se':
str(
datetime(year=2014,
month=7,
day=31,
hour=0,
minute=0,
second=0)),
'-v':
"0",
'-sb':
"0",
'-ts':
"100",
'-o':
"test_output_2"
}
parm_list = []
for i, j in parm_dict.items():
if j is not None:
parm_list += [i, j]
else:
parm_list += [i]
args = self.parser.parse_args(parm_list)
outputpath_2 = 'test_output_2/simulations_of_target_mape_9.2.csv'
mapemain.main(args)
l = pd.read_csv(outputpath_2)
test_numbers = l.iloc[:, 1]
single_test_number_2 = test_numbers[1]
self.assertEqual(single_test_number_1, single_test_number_2)
df = pd.read_csv(self.wind_data, index_col=0)
df.index = pd.to_datetime(df.index)
start = pd.to_datetime('20140701000000')
end = pd.to_datetime('20140801000000')
df = df[(df.index >= start) & (df.index <= end)]
actual = df.iloc[:, 0]
actual[0]
cap = actual.max()
scale = 100 / cap
# 3rd run, manually scale unscaled output
parm_dict = {
'-xf':
self.wind_data,
'-s':
"1234",
'-is':
str(datetime(year=2014, month=7, day=1, hour=0, minute=0,
second=0)),
'-ie':
str(datetime(year=2014, month=8, day=1, hour=0, minute=0,
second=0)),
'-ss':
str(datetime(year=2014, month=7, day=2, hour=0, minute=0,
second=0)),
'-se':
str(
datetime(year=2014,
month=7,
day=31,
hour=0,
minute=0,
second=0)),
'-v':
"0",
'-sb':
"0",
'-o':
"test_output_3"
}
parm_list = []
for i, j in parm_dict.items():
if j is not None:
parm_list += [i, j]
else:
parm_list += [i]
args = self.parser.parse_args(parm_list)
outputpath_2 = 'test_output_3/simulations_of_target_mape_9.2.csv'
mapemain.main(args)
l = pd.read_csv(outputpath_2)
test_numbers = l.iloc[:, 1]
single_test_number_3 = test_numbers[1] * scale
self.assertAlmostEqual(single_test_number_1, single_test_number_3, 2)
