diff --git a/price_forecast_model_v1_5.json b/price_forecast_model_v1_5.json
index 0a37fa8..ac1db20 100644
--- a/price_forecast_model_v1_5.json
+++ b/price_forecast_model_v1_5.json
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/prijs_voorspelling_windows.png b/prijs_voorspelling_windows.png
index b6586a3..5d1e022 100644
Binary files a/prijs_voorspelling_windows.png and b/prijs_voorspelling_windows.png differ
diff --git a/training_set_2024_2025.csv b/training_set_2024_2025.csv
index 6d74776..19d8897 100644
--- a/training_set_2024_2025.csv
+++ b/training_set_2024_2025.csv
@@ -1,11579 +1,11651 @@
-"datum_tijd","temperatuur","gevoelstemperatuur","neerslag","wind_richting","wind_snelheid","bewolking","luchtdruk","luchtvochtigheid","gemiddelde_prijs"
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+"2025-11-13 10:00:00","13.80","11.50","0.00","214.0","17.30","100","1007.6","83","51","0.252741333"
+"2025-11-13 11:00:00","14.40","12.40","0.00","213.0","16.20","15","1008.2","81","186","0.250321333"
+"2025-11-13 12:00:00","15.00","13.00","0.00","224.0","16.60","59","1008.5","78","198","0.255021333"
+"2025-11-13 13:00:00","14.10","12.30","0.00","225.0","15.80","100","1008.5","85","161","0.268382666"
+"2025-11-13 14:00:00","14.00","12.40","0.00","218.0","14.00","100","1008.6","86","111","0.263543333"
+"2025-11-13 15:00:00","14.20","13.30","0.00","209.0","9.70","100","1009.0","84","111","0.268631333"
+"2025-11-13 16:00:00","14.30","13.40","0.00","231.0","10.10","70","1009.3","86","40","0.293551333"
+"2025-11-13 17:00:00","13.60","13.10","0.00","211.0","6.50","100","1009.7","88","16","0.292621333"
+"2025-11-13 18:00:00","13.50","13.30","0.00","209.0","5.80","100","1009.7","91","0","0.296171333"
+"2025-11-13 19:00:00","12.90","12.50","0.00","200.0","7.90","100","1010.4","96","0","0.293792666"
+"2025-11-13 20:00:00","12.70","12.70","0.00","128.0","3.20","92","1009.8","94","0","0.271823333"
+"2025-11-13 21:00:00","12.70","13.10","0.00","107.0","1.40","100","1009.9","96","0","0.275831333"
+"2025-11-13 22:00:00","11.90","11.70","0.10","157.0","4.30","100","1009.9","97","0","0.268881333"
+"2025-11-13 23:00:00","11.90","12.00","0.30","258.0","2.20","100","1009.8","96","0","0.259871333"
+"2025-11-14 00:00:00","12.20","12.00","0.40","136.0","5.00","100","1009.0","98","0","0.254743333"
+"2025-11-14 01:00:00","11.80","11.90","0.60","44.0","2.20","100","1009.0","97","0","0.251841333"
+"2025-11-14 02:00:00","11.70","12.00","1.20","336.0","0.70","100","1008.3","97","0","0.249211333"
+"2025-11-14 03:00:00","12.20","12.10","0.00","53.0","4.70","100","1007.1","98","0","0.245443333"
+"2025-11-14 04:00:00","11.70","11.30","0.80","81.0","5.80","100","1006.8","98","0","0.244992666"
+"2025-11-14 05:00:00","12.00","11.40","0.10","109.0","7.90","100","1006.1","97","0","0.244491333"
+"2025-11-14 06:00:00","12.00","11.30","0.00","102.0","7.90","100","1005.3","97","0","0.265891333"
+"2025-11-14 07:00:00","12.10","11.20","1.20","96.0","9.40","100","1003.3","97","0","0.293971333"
+"2025-11-14 08:00:00","12.20","11.50","0.00","112.0","7.90","100","1004.3","95","0","0.295731333"
+"2025-11-14 09:00:00","12.30","11.70","0.00","100.0","6.80","100","1004.3","94","10","0.278543333"
+"2025-11-14 10:00:00","12.40","11.90","0.00","83.0","6.10","100","1004.7","94","19","0.268041333"
+"2025-11-14 11:00:00","12.30","11.80","0.20","74.0","6.10","100","1004.7","95","18","0.262292666"
+"2025-11-14 12:00:00","12.30","11.80","0.10","106.0","6.50","100","1005.1","95","21","0.258283333"
+"2025-11-14 13:00:00","12.10","11.60","0.80","98.0","6.10","100","1004.6","96","8","0.262121333"
+"2025-11-14 14:00:00","12.00","11.40","0.80","144.0","7.20","100","1004.2","96","9","0.265433333"
+"2025-11-14 15:00:00","12.00","11.40","4.10","107.0","7.20","100","1004.0","96","2","0.273733333"
+"2025-11-14 16:00:00","12.00","11.30","1.00","104.0","7.20","100","1004.1","96","2","0.275331333"
+"2025-11-14 17:00:00","12.00","11.20","2.80","102.0","8.30","100","1004.0","97","0","0.287512666"
+"2025-11-14 18:00:00","12.00","11.50","0.60","94.0","7.20","100","1004.2","97","0","0.257371333"
+"2025-11-14 19:00:00","11.90","11.20","0.30","83.0","7.60","100","1004.6","97","0","0.252711333"
+"2025-11-14 20:00:00","11.80","11.00","0.00","82.0","8.60","100","1004.5","97","0","0.254322666"
+"2025-11-14 21:00:00","11.60","10.60","0.00","65.0","9.40","100","1004.8","97","0","0.246123333"
+"2025-11-14 22:00:00","11.10","9.80","0.00","71.0","9.70","100","1005.3","96","0","0.253541333"
+"2025-11-14 23:00:00","10.40","9.00","0.00","71.0","9.40","100","1005.8","95","0","0.235023333"
diff --git a/update_weather.py b/update_weather.py
index 24532ea..d56c870 100644
--- a/update_weather.py
+++ b/update_weather.py
@@ -44,7 +44,8 @@ def haal_recente_weerdata_op(aantal_dagen_terug):
             "wind_direction_10m",
             "relative_humidity_2m",
             "cloud_cover",
-            "surface_pressure"
+            "surface_pressure",
+            "shortwave_radiation"  
         ],
         "timezone": "Europe/Amsterdam",
         "past_days": int(aantal_dagen_terug) # Vraag data op van de afgelopen X dagen
@@ -75,7 +76,8 @@ def parse_api_data(data):
         "wind_richting": hourly['wind_direction_10m'],
         "luchtvochtigheid": hourly['relative_humidity_2m'],
         "bewolking": hourly['cloud_cover'],
-        "luchtdruk": hourly['surface_pressure']
+        "luchtdruk": hourly['surface_pressure'],
+        "zonnestraling": hourly['shortwave_radiation']  
     })
     # Vervang 'None' of 'NaN' door None (dat MySQL als NULL begrijpt)
     df = df.where(pd.notnull(df), None)
@@ -101,8 +103,8 @@ def sla_data_op_mysql(conn, data_df):
     query = """
     INSERT INTO amersfoort_weer_uurlijks 
     (datum_tijd, locatie, temperatuur, gevoelstemperatuur, neerslag, 
-     wind_snelheid, wind_richting, luchtvochtigheid, bewolking, luchtdruk)
-    VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s)
+     wind_snelheid, wind_richting, luchtvochtigheid, bewolking, luchtdruk, zonnestraling)
+    VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)
     ON DUPLICATE KEY UPDATE
         locatie = VALUES(locatie),
         temperatuur = VALUES(temperatuur),
@@ -112,7 +114,8 @@ def sla_data_op_mysql(conn, data_df):
         wind_richting = VALUES(wind_richting),
         luchtvochtigheid = VALUES(luchtvochtigheid),
         bewolking = VALUES(bewolking),
-        luchtdruk = VALUES(luchtdruk);
+        luchtdruk = VALUES(luchtdruk),
+        zonnestraling = VALUES(zonnestraling);
     """
     
     try: