dummy prediction yet

v2/architecture.py

@@ -1,6 +1,7 @@
 import numpy as np
 import pandas as pd
 import copy
+import time
 from enum import IntEnum
 
 # it's really just a network pricing model
@@ -107,7 +108,7 @@ class Decider:
         # assert len(prod_pred) == len(cons_pred) == self.input_window_size
         self.random_seed += 1
         self.random_seed %= 3 # dummy rotates between Decisions
-        self.random_seed = Decision.PASSIVE
+        self.random_seed = Decision.DISCHARGE
         return self.random_seed
         # dummy decider always says DISCHARGE:
         # return pd.Series([Decision.DISCHARGE] * self.output_window_size, dtype=int)
@@ -132,8 +133,8 @@ def simulator(battery_model, supplier, prod_cons, decider):
 
     demand_np = prod_cons['Consumption'].to_numpy()
     production_np = prod_cons['Production'].to_numpy()
-    demand_prediction_np = prod_cons['Consumption_prediction'].to_numpy()
-    production_prediction_np = prod_cons['Production_prediction'].to_numpy()
+    demand_prediction_np = demand_np # prod_cons['Consumption_prediction'].to_numpy()
+    production_prediction_np = production_np # prod_cons['Production_prediction'].to_numpy()
     assert len(demand_np) == len(production_np)
     step_in_minutes = prod_cons.index.freq.n
     assert step_in_minutes == 5
@@ -262,8 +263,11 @@ def main():
 
     decider = Decider()
 
+    t = time.perf_counter()
     results = simulator(battery_model, supplier, all_data_with_predictions, decider)
+    print("Simulation runtime", time.perf_counter() - t, "seconds.")
 
+    return
     import matplotlib.pyplot as plt
     results['soc_series'].plot()
     plt.show()