Ochre baseline

constants.py

@@ -0,0 +1,123 @@
+import os
+import pandas as pd
+from datetime import datetime, timedelta
+from calendar import month_abbr
+
+
+base_path = os.path.abspath(os.path.join(os.path.dirname(__file__)))
+
+def str_to_bool(val, default=False):
+    if isinstance(val, str) and (val in os.environ):
+        return True if os.environ[val] == 'True' else False
+    else:
+        return default
+
+# Scenario setup
+location = 'NY'
+multi_home_sim = False # whether doing cosim on more than 1 home
+if not multi_home_sim:     
+    house_number = 1
+    house_number_list = None
+    scenario_name = location + '_house_' + str(house_number)
+else:
+    house_number = None
+    house_number_list = [1]
+    scenario_name = location + '_multi_home_sim'
+
+
+# COsim date range, and timestep
+year = 2007
+month = "Aug" # enumeration Jan, May, or Aug
+month_num = list(month_abbr).index(month)
+start_date = 25
+start_time = datetime(year, month_num, start_date, 0, 0)  # (Year, Month, Day, Hour, Min)
+duration = timedelta(days=7)
+time_step = timedelta(minutes = 1)
+end_time = start_time + duration
+sim_times = pd.date_range(start=start_time, end=end_time, freq=time_step)[:-1] # timestamps of cosim
+
+
+# What Agents are included? Agents for ochre house model and hems
+include_house = True
+include_hems = True
+
+# Frequency of Updates
+freq_house = timedelta(minutes=1)  
+freq_hems = timedelta(minutes=15)  #HEMS model aggregates data to this timestep. Should be greater than house frequency
+freq_save_results = timedelta(minutes=5) 
+
+# Time offsets for communication order
+offset_house_run = timedelta(seconds=0)
+offset_hems_to_house = timedelta(seconds=60)
+offset_house_to_hems = timedelta(seconds=60)
+offset_save_results = timedelta(0)
+
+# House Variables
+house_battery_schedule =  'TOU'
+
+# HEMS Variables
+hems_scenario = 'foresee'
+hems_horizon = timedelta(hours=12)  # 12 hours / 15 min frequency = 180 time steps
+
+# Input/Output file paths
+input_path = os.path.join(base_path, "inputs")
+output_path = os.path.join(base_path, "outputs")
+baseline_output_path = os.path.join(base_path, "outputs", location)
+
+ochre_input_path = os.path.join(input_path, "ochre")
+foresee_input_path = os.path.join(input_path, "foresee")
+
+
+house_args_file_name = location + '_houses.xlsx'
+house_args_file = os.path.join(input_path, 'house_args', house_args_file_name)
+
+# Output file locations
+house_results_path = os.path.join(output_path, location, 'ochre')
+house_results_file = os.path.join(house_results_path, '{}_out.csv')
+hems_results_path = os.path.join(output_path, location, 'foresee')
+
+# Load house args spread sheed
+df_house_args = pd.read_excel(house_args_file, skiprows= 1, index_col='Bldg_ID')
+if not multi_home_sim:
+    house_id = 'house_' + str(house_number)
+in_real_time = str_to_bool(['REAL_TIME'])
+debug = False
+
+#store all sim parameters in dictionary
+dict_sim_params = {
+    'base_path': base_path,
+    'in_real_time': in_real_time,
+    'debug': debug,
+    'location': location,
+    'multi_home_sim': multi_home_sim,
+    'house_number': house_number,
+    'house_number_list': house_number_list,
+    'scenario_name': scenario_name,
+    'month': month,
+    'start_time': start_time,
+    'end_time': end_time,
+    'duration': duration,
+    'time_step': time_step,
+    'sim_times': sim_times,
+    'include_house': include_house,
+    'include_hems': include_hems,
+    'freq_house': freq_house,
+    'freq_hems': freq_hems,
+    'freq_save_results': freq_save_results,
+    'offset_house_run': offset_house_run,
+    'offset_hems_to_house': offset_hems_to_house,
+    'offset_house_to_hems': offset_house_to_hems,
+    'offset_save_results': offset_save_results,
+    'house_battery_schedule': house_battery_schedule,
+    'hems_scenario': hems_scenario,
+    'hems_horizon': hems_horizon,
+    'input_path': input_path,
+    'output_path': output_path,
+    'baseline_output_path': baseline_output_path,
+    'ochre_input_path': ochre_input_path,
+    'foresee_input_path': foresee_input_path,
+    'house_results_path': house_results_path,
+    'house_results_file': house_results_file,
+    'hems_results_path': hems_results_path,
+    'df_house_args': df_house_args,
+}