diff --git a/AgentPPO/actor.pth b/AgentPPO/actor.pth
index 5109f84..857688d 100644
Binary files a/AgentPPO/actor.pth and b/AgentPPO/actor.pth differ
diff --git a/AgentPPO/loss_data.pkl b/AgentPPO/loss_data.pkl
index d28969a..a019fe1 100644
Binary files a/AgentPPO/loss_data.pkl and b/AgentPPO/loss_data.pkl differ
diff --git a/AgentPPO/reward_data.pkl b/AgentPPO/reward_data.pkl
index 1ba7e24..d420577 100644
Binary files a/AgentPPO/reward_data.pkl and b/AgentPPO/reward_data.pkl differ
diff --git a/DDPG.py b/DDPG.py
index 9612469..5057afe 100644
--- a/DDPG.py
+++ b/DDPG.py
@@ -105,7 +105,7 @@ if __name__ == '__main__':
         record = test_one_episode(env, agent.act, agent.device)
         eval_data = pd.DataFrame(record['system_info'])
         eval_data.columns = ['time_step', 'price', 'netload', 'action', 'real_action', 'soc', 'battery', 'gen1', 'gen2',
-                             'gen3', 'unbalance', 'operation_cost']
+                             'gen3', 'temperature', 'irradiance', 'unbalance', 'operation_cost']
     if args.save_test_data:
         test_data_save_path = f'{args.cwd}/test_data.pkl'
         with open(test_data_save_path, 'wb') as tf:
diff --git a/PPO.py b/PPO.py
index 21c4171..35d8484 100644
--- a/PPO.py
+++ b/PPO.py
@@ -130,7 +130,7 @@ class AgentPPO:
         for i in range(target_step):
             action, noise = self.select_action(state)
             state, next_state, reward, done, = env.step(
-                np.tanh(action))  # here the step of cut action is finally organized into the environment.
+                np.tanh(action))  # the step of cut action is finally organized into the environment.
             trajectory_temp.append((state, reward, done, action, noise))
             if done:
                 state = env.reset()
@@ -371,7 +371,7 @@ if __name__ == '__main__':
         record = test_one_episode(env, agent.act, agent.device)
         eval_data = pd.DataFrame(record['system_info'])
         eval_data.columns = ['time_step', 'price', 'netload', 'action', 'real_action', 'soc', 'battery', 'gen1', 'gen2',
-                             'gen3', 'unbalance', 'operation_cost']
+                             'gen3', 'temperature', 'irradiance', 'unbalance', 'operation_cost']
     if args.save_test_data:
         test_data_save_path = f'{args.cwd}/test_data.pkl'
         with open(test_data_save_path, 'wb') as tf:
diff --git a/SAC.py b/SAC.py
index 77852ff..07eb753 100644
--- a/SAC.py
+++ b/SAC.py
@@ -109,7 +109,7 @@ if __name__ == '__main__':
         record = test_one_episode(env, agent.act, agent.device)
         eval_data = pd.DataFrame(record['system_info'])
         eval_data.columns = ['time_step', 'price', 'netload', 'action', 'real_action', 'soc', 'battery', 'gen1', 'gen2',
-                             'gen3', 'unbalance', 'operation_cost']
+                             'gen3', 'temperature', 'irradiance', 'unbalance', 'operation_cost']
     if args.save_test_data:
         test_data_save_path = f'{args.cwd}/test_data.pkl'
         with open(test_data_save_path, 'wb') as tf:
diff --git a/TD3.py b/TD3.py
index 5dd2e6f..050a2af 100644
--- a/TD3.py
+++ b/TD3.py
@@ -105,7 +105,7 @@ if __name__ == '__main__':
         record = test_one_episode(env, agent.act, agent.device)
         eval_data = pd.DataFrame(record['system_info'])
         eval_data.columns = ['time_step', 'price', 'netload', 'action', 'real_action', 'soc', 'battery', 'gen1', 'gen2',
-                             'gen3', 'unbalance', 'operation_cost']
+                             'gen3', 'temperature', 'irradiance', 'unbalance', 'operation_cost']
     if args.save_test_data:
         test_data_save_path = f'{args.cwd}/test_data.pkl'
         with open(test_data_save_path, 'wb') as tf:
diff --git a/environment.py b/environment.py
index 078d9b0..2d8a001 100644
--- a/environment.py
+++ b/environment.py
@@ -175,7 +175,7 @@ class ESSEnv(gym.Env):
 
         # process_elements(pv, lambda x: x, self.data_manager.add_pv_element)
         process_elements(price, lambda x: max(x / 10, 0.5), self.data_manager.add_price_element)
-        process_elements(load, lambda x: x * 5, self.data_manager.add_load_element)
+        process_elements(load, lambda x: x * 3, self.data_manager.add_load_element)
         process_elements(irradiance, lambda x: x, self.data_manager.add_irradiance_element)
         process_elements(temperature, lambda x: x - 273.15, self.data_manager.add_temperature_element)
         process_elements(wind, lambda x: x, self.data_manager.add_wind_element)