- mixed up sclaing factors fixed

assume-framework · Dec 18, 2024 · 0a9e076 · 0a9e076
1 parent f762d7d
commit 0a9e076
Showing 1 changed file with 4 additions and 4 deletions.
diff --git a/assume/strategies/learning_strategies.py b/assume/strategies/learning_strategies.py
@@ -53,10 +53,10 @@ def load_actor_params(self, load_path):
 
     def prepare_observations(self, unit, market_id):
         # scaling factors for the observations
-        upper_scaling_factor_res_load = max(unit.forecaster[f"price_{market_id}"])
-        lower_scaling_factor_res_load = min(unit.forecaster[f"price_{market_id}"])
-        upper_scaling_factor_price = max(unit.forecaster[f"residualy_load_{market_id}"])
-        lower_scaling_factor_price = min(unit.forecaster[f"residual_load_{market_id}"])
+        upper_scaling_factor_price = max(unit.forecaster[f"price_{market_id}"])
+        lower_scaling_factor_price = min(unit.forecaster[f"price_{market_id}"])
+        upper_scaling_factor_res_load = max(unit.forecaster[f"residual_load_{market_id}"])
+        lower_scaling_factor_res_load = min(unit.forecaster[f"residual_load_{market_id}"])
 
         self.scaled_res_load_obs = min_max_scale(
             unit.forecaster[f"residual_load_{market_id}"],