chore: Update energy usage statistics display in dashboard.py

dashboard.py

@@ -376,9 +376,9 @@ with st.container():
             with row2_row2_col2:
                 energy_stats_placeholder = {"box": st.empty(), "sub": st.empty()}
 
-                energy_stats_placeholder["box"].title("Energy Usage Statistics")
+                energy_stats_placeholder["box"].subheader("Energy Usage Statistics")
                 energy_stats_placeholder["sub"].text(
-                    f"Average: {max_energy} kWh\nHighest: {average_energy} kWh"
+                    f"Average: {int(average_energy)} kW\nHighest: {int(max_energy)} kW"
                 )  # ---- REPLACE WITH ACTUAL DATA ----
 
 
@@ -462,8 +462,8 @@ while True:
         fault_4 = None
 
         energy = (
-            pd.DataFrame(mqtt_client.data_list)["hvac_N"].item()
-            + pd.DataFrame(mqtt_client.data_list)["hvac_N"].item()
+            pd.DataFrame(mqtt_client.data_list)["hvac_N"][0].item()
+            + pd.DataFrame(mqtt_client.data_list)["hvac_S"][0].item()
         )
         k += 1
 
@@ -473,7 +473,7 @@ while True:
             max_energy = energy
 
         energy_stats_placeholder["sub"].text(
-            f"Average: {max_energy} kWh\nHighest: {average_energy} kWh"
+            f"Average: {int(average_energy)} kW\nHighest: {int(max_energy)} kW"
         )  # ---- REPLACE WITH ACTUAL DATA ----
 
         df_new1, df_trans1, df_new2, df_trans2 = rtu_data_pipeline.fit(
@@ -670,7 +670,7 @@ while True:
                 fig = px.line(
                     x=x_time,
                     y=energy_prediction_north,
-                    labels={"x": "Time", "y": "Energy (kWh)"},
+                    labels={"x": "Time", "y": "Energy (kW)"},
                     height=200,
                 )