def run(envClass, wrapper=None, scenario={'electricity_price':'constant'},
plot=False):
# Use the first 3 days of February for testing with 3 days for initialization
env = envClass(url = url,
actions = ['oveHeaPumY_u'],
observations = {'reaTZon_y':(280.,310.)},
random_start_time = False,
start_time = 31*24*3600,
max_episode_length = 3*24*3600,
warmup_period = 3*24*3600,
scenario = scenario,
step_period = 3600)
# Define an empty action list to don't overwrite any input
env.actions = []
# Add wrapper if any
if wrapper is not None:
env = wrapper(env)
model = BaselineModel()
# Perform test
observations, actions, rewards, _ = test_agent(env, model,
start_time=start_time_test,
episode_length=episode_length_test,
warmup_period=warmup_period_test,
plot=plot)
return observations, actions, rewards
def run(envClass, wrapper=None, plot=False):
# Use the first 3 days of February for testing with 3 days for initialization
env = envClass(url=url,
actions=['oveHeaPumY_u'],
observations={'reaTZon_y': (280., 310.)},
random_start_time=False,
start_time=31 * 24 * 3600,
max_episode_length=3 * 24 * 3600,
warmup_period=3 * 24 * 3600,
Ts=3600)
# Add wrapper if any
if wrapper is not None:
env = wrapper(env)
model = SampleModel(env)
# Perform test
observations, actions, rewards, _ = test_agent(
env,
model,
start_time=start_time_test,
episode_length=episode_length_test,
warmup_period=warmup_period_test,
plot=plot)
return observations, actions, rewards
def test_nov(env, model, start_time_tests,
episode_length_test, warmup_period_test, plot=False):
''' Perform test in November
'''
observations, actions, rewards, kpis = test_agent(env, model,
start_time=start_time_tests[1],
episode_length=episode_length_test,
warmup_period=warmup_period_test,
plot=plot)
return observations, actions, rewards, kpis
def test_typi(env, model, start_time_tests, episode_length_test,
warmup_period_test, log_dir=os.getcwd(), kpis_to_file=False,
plot=False):
''' Perform test in typical heat period (November)
'''
observations, actions, rewards, kpis = test_agent(env, model,
start_time=start_time_tests[1],
episode_length=episode_length_test,
warmup_period=warmup_period_test,
log_dir=log_dir,
kpis_to_file=kpis_to_file,
plot=plot)
return observations, actions, rewards, kpis
def test_peak(env, model, start_time_tests, episode_length_test,
warmup_period_test, log_dir=os.getcwd(), kpis_to_file=False,
plot=False):
''' Perform test in peak heat period (February).
'''
observations, actions, rewards, kpis = test_agent(env, model,
start_time=start_time_tests[0],
episode_length=episode_length_test,
warmup_period=warmup_period_test,
log_dir=log_dir,
kpis_to_file=kpis_to_file,
plot=plot)
return observations, actions, rewards, kpis
