Update app.py

app.py

@@ -130,7 +130,7 @@ def optimize_energy_system(city_code, solar_cost, onshore_wind_cost, offshore_wi
     battery_discharge_values = [battery_discharge[t].varValue for t in time_steps]
     battery_charge_values = [-battery_charge[t].varValue for t in time_steps]
     SOC_values = [SOC[t].varValue for t in time_steps]
-    curtailment_values = [curtailment[(r, t)].varValue for r in regions for t in time_steps]
+    curtailment_values = [-curtailment[(r, t)].varValue for r in regions for t in time_steps]
 
     # Calculate price per hour based on demand and generation (simplified example)
     price_per_hour = [100 + 0.05 * demand[t] for t in time_steps]
@@ -148,7 +148,7 @@ def optimize_energy_system(city_code, solar_cost, onshore_wind_cost, offshore_wi
     fig_energy.add_trace(go.Scatter(x=data['Time'], y=battery_discharge_values, mode='lines', stackgroup='one', name='Battery Discharge', fill='tonexty', line=dict(color='#6A3D9A', width=0)))
     fig_energy.add_trace(go.Scatter(x=data['Time'], y=battery_charge_values, mode='lines', stackgroup='two', name='Battery Charge', fill='tonexty', line=dict(color='#6A3D9A', width=0)))
     fig_energy.add_trace(go.Scatter(x=data['Time'], y=-demand, mode='lines', stackgroup='two', name='Demand', line=dict(color='black', width=0)))
-    fig_energy.add_trace(go.Scatter(x=data['Time'], y=-curtailment_values, mode='lines', stackgroup='two', name='Curtailment', line=dict(color='#aaaaaa', width=0)))
+    fig_energy.add_trace(go.Scatter(x=data['Time'], y=curtailment_values, mode='lines', stackgroup='two', name='Curtailment', line=dict(color='#aaaaaa', width=0)))
     
     # Layout settings for energy dispatch plot
     fig_energy.update_layout(