Update app.py

app.py

@@ -39,9 +39,9 @@ with tabs[0]:
     st.bar_chart(grid_health_counts)
 
     # Optimization recommendations
-    current_demand = data["total_consumption_kwh"].iloc[-1]
-    current_solar = data["solar_output_kw"].iloc[-1]
-    current_wind = data["wind_output_kw"].iloc[-1]
+    current_demand = data["Electricity_consumption_Mwh"].iloc[-1]
+    current_solar = data["solar_output_mw"].iloc[-1]
+    current_wind = data["wind_output_mw"].iloc[-1]
     recommendation = optimize_load(current_demand, current_solar, current_wind)
 
     st.subheader("Recommendations")
@@ -55,13 +55,13 @@ with tabs[1]:
 
     # Total energy stored
     total_storage = 500  # Example of total energy storage
-    st.subheader(f"Total Energy Stored: {total_storage} kWh")
+    st.subheader(f"Total Energy Stored: {total_storage} MWh")
 
     # Energy storage contribution from different sources
     st.subheader("Energy Storage Contributions")
     energy_sources = pd.DataFrame({
         "Source": ["Wind", "Solar", "Turbine"],
-        "Energy (kW/min)": [5, 7, 10]
+        "Energy (MW/min)": [5, 7, 10]
     })
     st.bar_chart(energy_sources.set_index("Source"))
 
@@ -79,13 +79,13 @@ with tabs[1]:
     st.plotly_chart(fig)
 
 with tabs[2]:
-    st.title("Energy Trading Overview")
+    st.title("Electricity Trading Overview")
 
     # Energy cubes
     st.subheader("Energy Cubes Stored")
     energy_cubes = pd.DataFrame({
         "Country": ["China", "Banglandesh", "Sri Lanka"],
-        "Energy (kWh)": [100, 200, 300],
+        "Energy (MWh)": [100, 200, 300],
         "Shareable": [True, True, False]
     })
 
@@ -96,5 +96,5 @@ with tabs[2]:
     # Visualization of energy that can be shared
     st.subheader("Energy Trading Visualization")
     st.markdown("The following energy amounts are available for sharing with different countries.")
-    trading_fig = px.bar(energy_cubes, x="Country", y="Energy (kWh)", color="Shareable", title="Energy Trading")
+    trading_fig = px.bar(energy_cubes, x="Country", y="Energy (MWh)", color="Shareable", title="Energy Trading")
     st.plotly_chart(trading_fig)