diff --git a/Weather&EPEX-data/PVLIB_data/data_PV_15degEastWest_Cabouw.csv b/Weather&EPEX-data/PVLIB_data/data_PV_15degEastWest_Cabouw.csv
deleted file mode 100644
index 627d913..0000000
--- a/Weather&EPEX-data/PVLIB_data/data_PV_15degEastWest_Cabouw.csv
+++ /dev/null
@@ -1,8785 +0,0 @@
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diff --git a/Weather&EPEX-data/PVLIB_data/data_PV_35degSouth_Cabouw.csv b/Weather&EPEX-data/PVLIB_data/data_PV_35degSouth_Cabouw.csv
deleted file mode 100644
index 3555e97..0000000
--- a/Weather&EPEX-data/PVLIB_data/data_PV_35degSouth_Cabouw.csv
+++ /dev/null
@@ -1,8785 +0,0 @@
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diff --git a/WeatherAndEPEX-data/CO2_emission_data/NED_dataportaal_retrieval.py b/WeatherAndEPEX-data/CO2_emission_data/NED_dataportaal_retrieval.py
new file mode 100644
index 0000000..4f1e5cf
--- /dev/null
+++ b/WeatherAndEPEX-data/CO2_emission_data/NED_dataportaal_retrieval.py
@@ -0,0 +1,105 @@
+# %%
+import time
+import requests
+import pandas as pd
+from datetime import date, datetime, timedelta
+from zoneinfo import ZoneInfo
+
+# %%
+API_KEY = "9a93a6982957f588aead6d46342cdf0fa3ab4085f4de7c9f887004895d718bec"
+BASE_URL = "https://api.ned.nl/v1/utilizations"
+HEADERS = {"X-AUTH-TOKEN": API_KEY, "accept": "application/ld+json"}
+
+# Electricity mix components listed by NED (commonly used to reconstruct totals)
+MIX_TYPES = [1, 2, 18, 19, 20, 21, 22, 25, 26, 35]
+
+# %%
+BASE_PARAMS = {
+    "point": 0,
+    "activity": 1,              # Providing
+    "classification": 2,        # Current (this is the key change)
+    "granularity": 5,           # Hour
+    "granularitytimezone": 1,   # CET; otherwise aggregated granularities can return nothing :contentReference[oaicite:2]{index=2}
+}
+
+SLEEP_SECONDS = 0.25
+
+# %%
+def year(year: int):
+    d = date(year, 1, 1)
+    end = date(year + 1, 1, 1)
+    while d < end:
+        nxt = date(d.year + (d.month == 12), 1 if d.month == 12 else d.month + 1, 1)
+        yield d, min(nxt, end)
+        d = nxt
+
+def extract_members(data):
+    if isinstance(data, list):
+        return data
+    return data.get("hydra:member", [])
+
+def fetch_window(type_id: int, start_d: date, end_d: date):
+    params = dict(BASE_PARAMS)
+    params["type"] = type_id
+    params["validfrom[after]"] = start_d.isoformat()
+    params["validfrom[strictly_before]"] = end_d.isoformat()
+
+    items = []
+    url = BASE_URL
+    p = params
+    while True:
+        r = requests.get(url, headers=HEADERS, params=p, timeout=60)
+        r.raise_for_status()
+        data = r.json()
+        items.extend(extract_members(data))
+
+        nxt = None
+        if isinstance(data, dict):
+            nxt = data.get("hydra:view", {}).get("hydra:next")
+        if not nxt:
+            break
+
+        url = "https://api.ned.nl" + nxt
+        p = None
+        time.sleep(SLEEP_SECONDS)
+
+    return items
+
+# %%
+rows = []
+for start_d, end_d in year(2023):
+    for t in MIX_TYPES:
+        items = fetch_window(t, start_d, end_d)
+        for it in items:
+            rows.append({
+                "type": t,
+                "validfrom_utc": it.get("validfrom"),
+                "volume_kwh": it.get("volume"),
+                "emission_kg": it.get("emission"),
+            })
+        time.sleep(SLEEP_SECONDS)
+
+# %%
+df = pd.DataFrame(rows)
+if df.empty:
+    raise RuntimeError("Still no data returned. Run the 1-day proof for a single type (e.g., type=2) and share the record count.")
+
+df["validfrom_utc"] = pd.to_datetime(df["validfrom_utc"], utc=True, errors="coerce")
+df["volume_kwh"] = pd.to_numeric(df["volume_kwh"], errors="coerce")
+df["emission_kg"] = pd.to_numeric(df["emission_kg"], errors="coerce")
+
+# %%
+# Hourly mix factor = sum(emission)/sum(volume)
+g = df.groupby("validfrom_utc", as_index=False).agg(
+    volume_kwh=("volume_kwh", "sum"),
+    emission_kg=("emission_kg", "sum"),
+)
+g["co2_factor_kg_per_kwh"] = g["emission_kg"] / g["volume_kwh"]
+g["co2_factor_g_per_kwh"] = g["co2_factor_kg_per_kwh"] * 1000.0
+g = g.sort_values("validfrom_utc").reset_index(drop=True)
+
+# %%
+out_path = "ned_co2_hourly_nl_2023.csv"
+g.to_csv(out_path, index=False)
+print(f"Saved {len(g):,} hourly rows to {out_path}")
+# %%
diff --git a/WeatherAndEPEX-data/CO2_emission_data/ned_co2_hourly_nl_2023.csv b/WeatherAndEPEX-data/CO2_emission_data/ned_co2_hourly_nl_2023.csv
new file mode 100644
index 0000000..1896ece
--- /dev/null
+++ b/WeatherAndEPEX-data/CO2_emission_data/ned_co2_hourly_nl_2023.csv
@@ -0,0 +1,8761 @@
+validfrom_utc,volume_kwh,emission_kg,co2_factor_kg_per_kwh,co2_factor_g_per_kwh
+2022-12-31 23:00:00+00:00,10927748,1552968,0.1421123547138898,142.1123547138898
+2023-01-01 00:00:00+00:00,10856914,1523569,0.1403316817283438,140.3316817283438
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+2023-01-01 02:00:00+00:00,10749906,1514511,0.14088597611923304,140.88597611923305
+2023-01-01 03:00:00+00:00,10779230,1502418,0.13938082775856903,139.380827758569
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+2023-01-01 06:00:00+00:00,11468080,1604974,0.1399514129653787,139.9514129653787
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+2023-01-01 12:00:00+00:00,13735337,1649538,0.1200944687414659,120.0944687414659
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diff --git a/WeatherAndEPEX-data/CO2_emission_data/ned_co2_hourly_nl_2023_2025.csv b/WeatherAndEPEX-data/CO2_emission_data/ned_co2_hourly_nl_2023_2025.csv
new file mode 100644
index 0000000..950aa44
--- /dev/null
+++ b/WeatherAndEPEX-data/CO2_emission_data/ned_co2_hourly_nl_2023_2025.csv
@@ -0,0 +1,26305 @@
+validfrom_utc,volume_kwh,emission_kg,co2_factor_kg_per_kwh,co2_factor_g_per_kwh
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diff --git a/WeatherAndEPEX-data/CO2_emission_data/ned_co2_hourly_nl_2024.csv b/WeatherAndEPEX-data/CO2_emission_data/ned_co2_hourly_nl_2024.csv
new file mode 100644
index 0000000..50e7c4d
--- /dev/null
+++ b/WeatherAndEPEX-data/CO2_emission_data/ned_co2_hourly_nl_2024.csv
@@ -0,0 +1,8785 @@
+validfrom_utc,volume_kwh,emission_kg,co2_factor_kg_per_kwh,co2_factor_g_per_kwh
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diff --git a/WeatherAndEPEX-data/CO2_emission_data/ned_co2_hourly_nl_2025.csv b/WeatherAndEPEX-data/CO2_emission_data/ned_co2_hourly_nl_2025.csv
new file mode 100644
index 0000000..a0fccef
--- /dev/null
+++ b/WeatherAndEPEX-data/CO2_emission_data/ned_co2_hourly_nl_2025.csv
@@ -0,0 +1,8761 @@
+validfrom_utc,volume_kwh,emission_kg,co2_factor_kg_per_kwh,co2_factor_g_per_kwh
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diff --git a/WeatherAndEPEX-data/EPEX_data.py b/WeatherAndEPEX-data/EPEX_data.py
new file mode 100644
index 0000000..b3446f0
--- /dev/null
+++ b/WeatherAndEPEX-data/EPEX_data.py
@@ -0,0 +1,19 @@
+import pandas as pd
+from entsoe import EntsoePandasClient
+
+API_TOKEN = "a7d69200-e71f-4bc7-9376-46311eb95f9a"
+client = EntsoePandasClient(api_key=API_TOKEN)
+
+start = pd.Timestamp("2025-01-01", tz="Europe/Amsterdam")
+end   = pd.Timestamp("2026-01-01", tz="Europe/Amsterdam")
+
+# query_day_ahead_prices returns a pandas Series with timestamps
+prices = client.query_day_ahead_prices(country_code="NL", start=start, end=end)
+
+# Make it a clean hourly table
+df = prices.rename("price_eur_per_mwh").to_frame()
+df.index = df.index.tz_convert("Europe/Amsterdam")
+df = df.sort_index()
+
+df.to_csv("NL_day_ahead_prices_2025_hourly.csv", index_label="time")
+print(df.head(), df.tail())
\ No newline at end of file
diff --git a/Weather&EPEX-data/Epex2021.txt b/WeatherAndEPEX-data/Epex2021.txt
similarity index 100%
rename from Weather&EPEX-data/Epex2021.txt
rename to WeatherAndEPEX-data/Epex2021.txt
diff --git a/Weather&EPEX-data/Epex2022.json.bak b/WeatherAndEPEX-data/Epex2022.json.bak
similarity index 100%
rename from Weather&EPEX-data/Epex2022.json.bak
rename to WeatherAndEPEX-data/Epex2022.json.bak
diff --git a/Weather&EPEX-data/Epex2022.txt b/WeatherAndEPEX-data/Epex2022.txt
similarity index 100%
rename from Weather&EPEX-data/Epex2022.txt
rename to WeatherAndEPEX-data/Epex2022.txt
diff --git a/Weather&EPEX-data/Epex2022.txt.bak b/WeatherAndEPEX-data/Epex2022.txt.bak
similarity index 100%
rename from Weather&EPEX-data/Epex2022.txt.bak
rename to WeatherAndEPEX-data/Epex2022.txt.bak
diff --git a/Weather&EPEX-data/Epex2023.txt b/WeatherAndEPEX-data/Epex2023.txt
similarity index 100%
rename from Weather&EPEX-data/Epex2023.txt
rename to WeatherAndEPEX-data/Epex2023.txt
diff --git a/Weather&EPEX-data/Epex2024.txt b/WeatherAndEPEX-data/Epex2024.txt
similarity index 100%
rename from Weather&EPEX-data/Epex2024.txt
rename to WeatherAndEPEX-data/Epex2024.txt
diff --git a/Weather&EPEX-data/Epex24.csv b/WeatherAndEPEX-data/Epex24.csv
similarity index 100%
rename from Weather&EPEX-data/Epex24.csv
rename to WeatherAndEPEX-data/Epex24.csv
diff --git a/Weather&EPEX-data/EpexJan23-Okt24.txt b/WeatherAndEPEX-data/EpexJan23-Okt24.txt
similarity index 100%
rename from Weather&EPEX-data/EpexJan23-Okt24.txt
rename to WeatherAndEPEX-data/EpexJan23-Okt24.txt
diff --git a/Weather&EPEX-data/EpexJan23-Okt24.txt.bak b/WeatherAndEPEX-data/EpexJan23-Okt24.txt.bak
similarity index 100%
rename from Weather&EPEX-data/EpexJan23-Okt24.txt.bak
rename to WeatherAndEPEX-data/EpexJan23-Okt24.txt.bak
diff --git a/Weather&EPEX-data/EpexOkt23-Sept24.txt b/WeatherAndEPEX-data/EpexOkt23-Sept24.txt
similarity index 100%
rename from Weather&EPEX-data/EpexOkt23-Sept24.txt
rename to WeatherAndEPEX-data/EpexOkt23-Sept24.txt
diff --git a/Weather&EPEX-data/EpexOkt23-Sept24.txt.bak b/WeatherAndEPEX-data/EpexOkt23-Sept24.txt.bak
similarity index 100%
rename from Weather&EPEX-data/EpexOkt23-Sept24.txt.bak
rename to WeatherAndEPEX-data/EpexOkt23-Sept24.txt.bak
diff --git a/WeatherAndEPEX-data/NL_day_ahead_prices_2023_hourly.csv b/WeatherAndEPEX-data/NL_day_ahead_prices_2023_hourly.csv
new file mode 100644
index 0000000..bd07759
--- /dev/null
+++ b/WeatherAndEPEX-data/NL_day_ahead_prices_2023_hourly.csv
@@ -0,0 +1,8761 @@
+time,price_eur_per_mwh
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diff --git a/WeatherAndEPEX-data/NL_day_ahead_prices_2024_hourly.csv b/WeatherAndEPEX-data/NL_day_ahead_prices_2024_hourly.csv
new file mode 100644
index 0000000..037f836
--- /dev/null
+++ b/WeatherAndEPEX-data/NL_day_ahead_prices_2024_hourly.csv
@@ -0,0 +1,8785 @@
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diff --git a/WeatherAndEPEX-data/NL_day_ahead_prices_2025.csv b/WeatherAndEPEX-data/NL_day_ahead_prices_2025.csv
new file mode 100644
index 0000000..8000108
--- /dev/null
+++ b/WeatherAndEPEX-data/NL_day_ahead_prices_2025.csv
@@ -0,0 +1,15388 @@
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diff --git a/WeatherAndEPEX-data/NL_day_ahead_prices_2025_hourly.csv b/WeatherAndEPEX-data/NL_day_ahead_prices_2025_hourly.csv
new file mode 100644
index 0000000..d334e48
--- /dev/null
+++ b/WeatherAndEPEX-data/NL_day_ahead_prices_2025_hourly.csv
@@ -0,0 +1,8762 @@
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diff --git a/Weather&EPEX-data/PVLIB_data/BSRN_Cabouw_irradiance_data.py b/WeatherAndEPEX-data/PVLIB_data/BSRN_Cabouw_irradiance_data.py
similarity index 85%
rename from Weather&EPEX-data/PVLIB_data/BSRN_Cabouw_irradiance_data.py
rename to WeatherAndEPEX-data/PVLIB_data/BSRN_Cabouw_irradiance_data.py
index 5c75c5f..b7d33c9 100644
--- a/Weather&EPEX-data/PVLIB_data/BSRN_Cabouw_irradiance_data.py
+++ b/WeatherAndEPEX-data/PVLIB_data/BSRN_Cabouw_irradiance_data.py
@@ -1,3 +1,4 @@
+# %%
 import pvlib
 # from pvlib.location import Location
 # from pvlib.pvsystem import PVSystem
@@ -10,8 +11,8 @@
 
 df, meta = pvlib.iotools.get_bsrn(
     station='CAB',  # three letter code for the Cabauw station
-    start=pd.Timestamp(2024,1,1),
-    end=pd.Timestamp(2024,12,31),
+    start=pd.Timestamp(2025,1,1),
+    end=pd.Timestamp(2025,12,31),
     username="bsrnftp",  # replace with your own username
     password="bsrn1",  # replace with your own password
 )
@@ -66,7 +67,8 @@
 mc.results.ac.plot()
 
 print(f'Total full load hours for 35-deg south facing system: {np.sum(mc.results.ac[:60*24*366])/60} hours')
-production_normalized_35degsouth = mc.results.ac[:60*24*366].resample('1h').mean()*0.88 # Manual adjustment to arrive at ~940 full load hours
+production_normalized_35degsouth = mc.results.ac[:60*24*366].resample('1h').mean()*0.755 # Manual adjustment to arrive at ~940 full load hours
+print(f'Total full load hours for 35-deg south facing system after resampling: {np.sum(production_normalized_35degsouth[:24*365])} hours')
 production_normalized_35degsouth.to_csv("data_PV_35degSouth_Cabouw.csv", header=True)
 
 ## 15 degree tilt, east-west facing
@@ -93,9 +95,9 @@
 plt.figure(figsize=(10, 6))
 mc.results.ac.plot()
 
-print(f'Total full load hours for 35-deg south facing system: {np.sum(mc.results.ac[:60*24*366])/60} hours')
-production_normalized_15degeastwest = mc.results.ac[:60*24*366].resample('1h').mean()*.91 # Manual adjustment to arrive at ~855 full load hours
+print(f'Total full load hours for 15-deg east-west facing system: {np.sum(mc.results.ac[:60*24*366])/60} hours')
+production_normalized_15degeastwest = mc.results.ac[:60*24*366].resample('1h').mean()*.81 # Manual adjustment to arrive at ~855 full load hours
+print(f'Total full load hours for 15-deg east-west facing system after resampling: {np.sum(production_normalized_15degeastwest[:24*365])} hours')
 production_normalized_15degeastwest.to_csv("data_PV_15degEastWest_Cabouw.csv", header=True)
 
-
 # %%
diff --git a/WeatherAndEPEX-data/PVLIB_data/data_PV_15degEastWest_Cabouw.csv b/WeatherAndEPEX-data/PVLIB_data/data_PV_15degEastWest_Cabouw.csv
new file mode 100644
index 0000000..d41919d
--- /dev/null
+++ b/WeatherAndEPEX-data/PVLIB_data/data_PV_15degEastWest_Cabouw.csv
@@ -0,0 +1,8761 @@
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diff --git a/WeatherAndEPEX-data/PVLIB_data/data_PV_35degSouth_Cabouw.csv b/WeatherAndEPEX-data/PVLIB_data/data_PV_35degSouth_Cabouw.csv
new file mode 100644
index 0000000..b5bb857
--- /dev/null
+++ b/WeatherAndEPEX-data/PVLIB_data/data_PV_35degSouth_Cabouw.csv
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diff --git a/Weather&EPEX-data/PVLIB_data/plot_mixed_orientation.py b/WeatherAndEPEX-data/PVLIB_data/plot_mixed_orientation.py
similarity index 100%
rename from Weather&EPEX-data/PVLIB_data/plot_mixed_orientation.py
rename to WeatherAndEPEX-data/PVLIB_data/plot_mixed_orientation.py
diff --git a/Weather&EPEX-data/ProcessWeatherData.m b/WeatherAndEPEX-data/ProcessWeatherData.m
similarity index 100%
rename from Weather&EPEX-data/ProcessWeatherData.m
rename to WeatherAndEPEX-data/ProcessWeatherData.m
diff --git a/Weather&EPEX-data/ProcessWindspeeds_L4L.m b/WeatherAndEPEX-data/ProcessWindspeeds_L4L.m
similarity index 100%
rename from Weather&EPEX-data/ProcessWindspeeds_L4L.m
rename to WeatherAndEPEX-data/ProcessWindspeeds_L4L.m
diff --git a/Weather&EPEX-data/SchipholWindZon2021.csv b/WeatherAndEPEX-data/SchipholWindZon2021.csv
similarity index 100%
rename from Weather&EPEX-data/SchipholWindZon2021.csv
rename to WeatherAndEPEX-data/SchipholWindZon2021.csv
diff --git a/Weather&EPEX-data/StralingSchiphol_Jphpcm2.csv b/WeatherAndEPEX-data/StralingSchiphol_Jphpcm2.csv
similarity index 100%
rename from Weather&EPEX-data/StralingSchiphol_Jphpcm2.csv
rename to WeatherAndEPEX-data/StralingSchiphol_Jphpcm2.csv
diff --git a/Weather&EPEX-data/StralingSchiphol_Jphpcm2.csv.bak b/WeatherAndEPEX-data/StralingSchiphol_Jphpcm2.csv.bak
similarity index 100%
rename from Weather&EPEX-data/StralingSchiphol_Jphpcm2.csv.bak
rename to WeatherAndEPEX-data/StralingSchiphol_Jphpcm2.csv.bak
diff --git a/Weather&EPEX-data/WeatherEpex2023.csv b/WeatherAndEPEX-data/WeatherEpex2023.csv
similarity index 100%
rename from Weather&EPEX-data/WeatherEpex2023.csv
rename to WeatherAndEPEX-data/WeatherEpex2023.csv
diff --git a/Weather&EPEX-data/WeatherEpexJan23Okt24.csv b/WeatherAndEPEX-data/WeatherEpexJan23Okt24.csv
similarity index 100%
rename from Weather&EPEX-data/WeatherEpexJan23Okt24.csv
rename to WeatherAndEPEX-data/WeatherEpexJan23Okt24.csv
diff --git a/Weather&EPEX-data/Weersdata2023deBilt.txt b/WeatherAndEPEX-data/Weersdata2023deBilt.txt
similarity index 100%
rename from Weather&EPEX-data/Weersdata2023deBilt.txt
rename to WeatherAndEPEX-data/Weersdata2023deBilt.txt
diff --git a/WeatherAndEPEX-data/Weersdata2025deBilt.txt b/WeatherAndEPEX-data/Weersdata2025deBilt.txt
new file mode 100644
index 0000000..17fd580
--- /dev/null
+++ b/WeatherAndEPEX-data/Weersdata2025deBilt.txt
@@ -0,0 +1,8797 @@
+# Opmerking: door stationsverplaatsingen en veranderingen in waarneemmethodieken zijn deze tijdreeksen van uurwaarden mogelijk inhomogeen! Dat betekent dat deze reeks van gemeten waarden niet geschikt is voor trendanalyse. Voor studies naar klimaatverandering verwijzen we naar de gehomogeniseerde dagreeksen <http://www.knmi.nl/nederland-nu/klimatologie/daggegevens> of de Centraal Nederland Temperatuur <http://www.knmi.nl/kennis-en-datacentrum/achtergrond/centraal-nederland-temperatuur-cnt>.
+# 
+# SOURCE: ROYAL NETHERLANDS METEOROLOGICAL INSTITUTE (KNMI)
+# Comment: These time series are inhomogeneous because of station relocations and changes in observation techniques. As a result these series are not suitable for trend analysis. For climate change studies we refer to the homogenized series of daily data <http://www.knmi.nl/nederland-nu/klimatologie/daggegevens> or the Central Netherlands Temperature <http://www.knmi.nl/kennis-en-datacentrum/achtergrond/centraal-nederland-temperatuur-cnt>.
+# 
+# STN         LON(east)   LAT(north)  ALT(m)      NAME
+# 260         5.180       52.100      1.90        De Bilt     
+# YYYYMMDD  : datum (YYYY=jaar;MM=maand;DD=dag)
+# HH        : tijd (HH=uur; UT.12 UT=13 MET; 14 MEZT. Uurvak 05 loopt van 04.00 UT tot 5.00 UT
+# FH        : Uurgemiddelde windsnelheid (in 0.1 m/s). Zie http://www.knmi.nl/kennis-en-datacentrum/achtergrond/klimatologische-brochures-en-boeken / Hourly mean wind speed (in 0.1 m/s)
+# T         : Temperatuur (in 0.1 graden Celsius) op 1.50 m hoogte tijdens de waarneming / Temperature (in 0.1 degrees Celsius) at 1.50 m at the time of observation
+# Q         : Globale straling (in J/cm2) per uurvak / Global radiation (in J/cm2) during the hourly division
+# STN,YYYYMMDD,HH,   FH,    T,    Q
+  260,20250101,    1,   80,   83,    0
+  260,20250101,    2,   80,   86,    0
+  260,20250101,    3,   90,   86,    0
+  260,20250101,    4,   90,   86,    0
+  260,20250101,    5,  100,   87,    0
+  260,20250101,    6,   90,   86,    0
+  260,20250101,    7,   90,   84,    0
+  260,20250101,    8,  100,   85,    0
+  260,20250101,    9,  110,   83,    3
+  260,20250101,   10,   90,   84,    5
+  260,20250101,   11,   90,   87,    7
+  260,20250101,   12,  100,   93,    8
+  260,20250101,   13,  100,   95,    7
+  260,20250101,   14,  110,   98,    5
+  260,20250101,   15,  110,   96,    3
+  260,20250101,   16,  100,   96,    0
+  260,20250101,   17,   80,   70,    0
+  260,20250101,   18,   40,   64,    0
+  260,20250101,   19,   40,   55,    0
+  260,20250101,   20,   50,   50,    0
+  260,20250101,   21,   50,   48,    0
+  260,20250101,   22,   60,   49,    0
+  260,20250101,   23,   60,   53,    0
+  260,20250101,   24,   40,   57,    0
+  260,20250102,    1,   20,   55,    0
+  260,20250102,    2,   20,   50,    0
+  260,20250102,    3,   20,   29,    0
+  260,20250102,    4,   10,   13,    0
+  260,20250102,    5,   10,    8,    0
+  260,20250102,    6,   10,    3,    0
+  260,20250102,    7,   10,   13,    0
+  260,20250102,    8,   20,   12,    0
+  260,20250102,    9,   20,   36,   21
+  260,20250102,   10,   10,   48,   40
+  260,20250102,   11,   20,   56,   76
+  260,20250102,   12,   30,   63,   86
+  260,20250102,   13,   30,   53,   53
+  260,20250102,   14,   30,   35,   32
+  260,20250102,   15,   20,   38,   18
+  260,20250102,   16,   20,   27,    2
+  260,20250102,   17,   20,   16,    0
+  260,20250102,   18,   20,   17,    0
+  260,20250102,   19,   30,   27,    0
+  260,20250102,   20,   20,   18,    0
+  260,20250102,   21,   20,   18,    0
+  260,20250102,   22,   20,   22,    0
+  260,20250102,   23,   20,   12,    0
+  260,20250102,   24,   30,   16,    0
+  260,20250103,    1,   20,   17,    0
+  260,20250103,    2,   30,   17,    0
+  260,20250103,    3,   30,   18,    0
+  260,20250103,    4,   30,   14,    0
+  260,20250103,    5,   30,   13,    0
+  260,20250103,    6,   30,   15,    0
+  260,20250103,    7,   40,   25,    0
+  260,20250103,    8,   40,   27,    0
+  260,20250103,    9,   40,   30,   14
+  260,20250103,   10,   50,   34,   31
+  260,20250103,   11,   50,   33,   25
+  260,20250103,   12,   50,   38,   21
+  260,20250103,   13,   50,   30,   22
+  260,20250103,   14,   40,   30,   22
+  260,20250103,   15,   30,   32,   19
+  260,20250103,   16,   30,   26,    2
+  260,20250103,   17,   20,   27,    0
+  260,20250103,   18,   20,   21,    0
+  260,20250103,   19,   20,   23,    0
+  260,20250103,   20,   10,   17,    0
+  260,20250103,   21,   20,   16,    0
+  260,20250103,   22,   20,    7,    0
+  260,20250103,   23,   20,    9,    0
+  260,20250103,   24,   20,   17,    0
+  260,20250104,    1,   20,   17,    0
+  260,20250104,    2,   20,    9,    0
+  260,20250104,    3,   20,    8,    0
+  260,20250104,    4,   20,   18,    0
+  260,20250104,    5,   20,   18,    0
+  260,20250104,    6,   20,   22,    0
+  260,20250104,    7,   30,   21,    0
+  260,20250104,    8,   20,   20,    0
+  260,20250104,    9,   20,   20,    7
+  260,20250104,   10,   30,   22,   20
+  260,20250104,   11,   30,   27,   33
+  260,20250104,   12,   30,   32,   28
+  260,20250104,   13,   30,   31,   19
+  260,20250104,   14,   30,   33,   26
+  260,20250104,   15,   30,   29,   21
+  260,20250104,   16,   30,   23,    3
+  260,20250104,   17,   30,   21,    0
+  260,20250104,   18,   30,   18,    0
+  260,20250104,   19,   30,   19,    0
+  260,20250104,   20,   30,   12,    0
+  260,20250104,   21,   20,    8,    0
+  260,20250104,   22,   20,    8,    0
+  260,20250104,   23,   20,    9,    0
+  260,20250104,   24,   30,   12,    0
+  260,20250105,    1,   40,   14,    0
+  260,20250105,    2,   40,   13,    0
+  260,20250105,    3,   40,   11,    0
+  260,20250105,    4,   50,    5,    0
+  260,20250105,    5,   40,    0,    0
+  260,20250105,    6,   50,    0,    0
+  260,20250105,    7,   60,    1,    0
+  260,20250105,    8,   70,    3,    0
+  260,20250105,    9,   60,    5,    3
+  260,20250105,   10,   60,    7,    7
+  260,20250105,   11,   50,   10,    9
+  260,20250105,   12,   50,   18,    8
+  260,20250105,   13,   40,   31,    6
+  260,20250105,   14,   40,   76,    6
+  260,20250105,   15,   50,  108,    5
+  260,20250105,   16,   70,  110,    1
+  260,20250105,   17,   70,  111,    0
+  260,20250105,   18,   70,  111,    0
+  260,20250105,   19,   70,  112,    0
+  260,20250105,   20,   70,  113,    0
+  260,20250105,   21,   70,  116,    0
+  260,20250105,   22,   70,  113,    0
+  260,20250105,   23,   60,  110,    0
+  260,20250105,   24,   60,  108,    0
+  260,20250106,    1,   60,  109,    0
+  260,20250106,    2,   60,  111,    0
+  260,20250106,    3,   70,  110,    0
+  260,20250106,    4,   60,  111,    0
+  260,20250106,    5,   80,  111,    0
+  260,20250106,    6,   80,  111,    0
+  260,20250106,    7,   80,  111,    0
+  260,20250106,    8,   70,  111,    0
+  260,20250106,    9,   80,  119,    6
+  260,20250106,   10,   90,  119,   10
+  260,20250106,   11,   80,  122,   18
+  260,20250106,   12,   90,  124,   19
+  260,20250106,   13,   90,  107,    8
+  260,20250106,   14,  110,   80,   15
+  260,20250106,   15,  110,   58,   10
+  260,20250106,   16,   90,   57,    1
+  260,20250106,   17,   80,   55,    0
+  260,20250106,   18,   80,   53,    0
+  260,20250106,   19,   70,   52,    0
+  260,20250106,   20,   60,   47,    0
+  260,20250106,   21,   70,   48,    0
+  260,20250106,   22,   70,   46,    0
+  260,20250106,   23,   50,   43,    0
+  260,20250106,   24,   60,   46,    0
+  260,20250107,    1,   60,   45,    0
+  260,20250107,    2,   60,   41,    0
+  260,20250107,    3,   50,   38,    0
+  260,20250107,    4,   50,   38,    0
+  260,20250107,    5,   50,   36,    0
+  260,20250107,    6,   60,   33,    0
+  260,20250107,    7,   50,   34,    0
+  260,20250107,    8,   50,   36,    0
+  260,20250107,    9,   50,   27,    2
+  260,20250107,   10,   40,   26,   11
+  260,20250107,   11,   50,   41,   55
+  260,20250107,   12,   60,   39,   56
+  260,20250107,   13,   70,   53,   80
+  260,20250107,   14,   70,   43,   42
+  260,20250107,   15,   60,   39,   20
+  260,20250107,   16,   50,   37,    2
+  260,20250107,   17,   60,   33,    0
+  260,20250107,   18,   50,   32,    0
+  260,20250107,   19,   50,   30,    0
+  260,20250107,   20,   50,   32,    0
+  260,20250107,   21,   40,   30,    0
+  260,20250107,   22,   50,   36,    0
+  260,20250107,   23,   50,   30,    0
+  260,20250107,   24,   50,   29,    0
+  260,20250108,    1,   40,   27,    0
+  260,20250108,    2,   40,   24,    0
+  260,20250108,    3,   30,   22,    0
+  260,20250108,    4,   30,   21,    0
+  260,20250108,    5,   40,   28,    0
+  260,20250108,    6,   40,   27,    0
+  260,20250108,    7,   30,   22,    0
+  260,20250108,    8,   20,   13,    0
+  260,20250108,    9,   30,   21,   17
+  260,20250108,   10,   30,   31,   49
+  260,20250108,   11,   40,   36,   66
+  260,20250108,   12,   40,   36,   56
+  260,20250108,   13,   30,   36,   40
+  260,20250108,   14,   20,   39,   42
+  260,20250108,   15,   20,   35,   19
+  260,20250108,   16,   10,   21,    3
+  260,20250108,   17,   20,   20,    0
+  260,20250108,   18,   20,   23,    0
+  260,20250108,   19,   20,   22,    0
+  260,20250108,   20,   20,   22,    0
+  260,20250108,   21,   20,   24,    0
+  260,20250108,   22,   50,   16,    0
+  260,20250108,   23,   20,   16,    0
+  260,20250108,   24,   20,   17,    0
+  260,20250109,    1,   10,   15,    0
+  260,20250109,    2,   10,   11,    0
+  260,20250109,    3,   20,    4,    0
+  260,20250109,    4,   10,   -2,    0
+  260,20250109,    5,   10,   -3,    0
+  260,20250109,    6,   10,    0,    0
+  260,20250109,    7,   10,    3,    0
+  260,20250109,    8,   10,    4,    0
+  260,20250109,    9,   10,   11,    3
+  260,20250109,   10,   10,   14,   13
+  260,20250109,   11,   20,   32,   42
+  260,20250109,   12,   20,   46,   70
+  260,20250109,   13,   30,   61,   85
+  260,20250109,   14,   40,   56,   51
+  260,20250109,   15,   40,   42,   32
+  260,20250109,   16,   40,   36,    9
+  260,20250109,   17,   40,   11,    0
+  260,20250109,   18,   20,   24,    0
+  260,20250109,   19,   40,   17,    0
+  260,20250109,   20,   30,   20,    0
+  260,20250109,   21,   30,   24,    0
+  260,20250109,   22,   30,   21,    0
+  260,20250109,   23,   40,   27,    0
+  260,20250109,   24,   40,   21,    0
+  260,20250110,    1,   30,   30,    0
+  260,20250110,    2,   30,   26,    0
+  260,20250110,    3,   30,   27,    0
+  260,20250110,    4,   20,   27,    0
+  260,20250110,    5,   30,   22,    0
+  260,20250110,    6,   30,   25,    0
+  260,20250110,    7,   30,   17,    0
+  260,20250110,    8,   30,   14,    1
+  260,20250110,    9,   30,   19,   19
+  260,20250110,   10,   30,   31,   57
+  260,20250110,   11,   40,   41,   84
+  260,20250110,   12,   40,   50,   97
+  260,20250110,   13,   50,   50,   91
+  260,20250110,   14,   40,   51,   43
+  260,20250110,   15,   40,   50,   36
+  260,20250110,   16,   30,   32,    2
+  260,20250110,   17,   10,   28,    0
+  260,20250110,   18,   20,   27,    0
+  260,20250110,   19,   20,   16,    0
+  260,20250110,   20,   20,    5,    0
+  260,20250110,   21,   10,   -6,    0
+  260,20250110,   22,   10,  -12,    0
+  260,20250110,   23,   10,  -20,    0
+  260,20250110,   24,   10,  -20,    0
+  260,20250111,    1,   10,  -28,    0
+  260,20250111,    2,   10,  -31,    0
+  260,20250111,    3,   10,  -32,    0
+  260,20250111,    4,   10,  -34,    0
+  260,20250111,    5,   10,  -39,    0
+  260,20250111,    6,   10,  -41,    0
+  260,20250111,    7,    0,  -42,    0
+  260,20250111,    8,    0,  -44,    2
+  260,20250111,    9,   10,   -9,   40
+  260,20250111,   10,   10,    6,   84
+  260,20250111,   11,   10,   40,   82
+  260,20250111,   12,   20,   52,   92
+  260,20250111,   13,   20,   52,   76
+  260,20250111,   14,   30,   57,   73
+  260,20250111,   15,   30,   45,   30
+  260,20250111,   16,   20,   31,    7
+  260,20250111,   17,   20,   35,    0
+  260,20250111,   18,   20,   32,    0
+  260,20250111,   19,   20,   10,    0
+  260,20250111,   20,   20,    2,    0
+  260,20250111,   21,   20,   14,    0
+  260,20250111,   22,   20,   18,    0
+  260,20250111,   23,   20,   17,    0
+  260,20250111,   24,   10,    9,    0
+  260,20250112,    1,   10,    0,    0
+  260,20250112,    2,   10,    7,    0
+  260,20250112,    3,   10,    6,    0
+  260,20250112,    4,   10,   12,    0
+  260,20250112,    5,   20,   18,    0
+  260,20250112,    6,   10,   10,    0
+  260,20250112,    7,   10,   -4,    0
+  260,20250112,    8,   10,   -5,    1
+  260,20250112,    9,   10,    9,    9
+  260,20250112,   10,   10,   26,   22
+  260,20250112,   11,   10,   49,   39
+  260,20250112,   12,   20,   53,   52
+  260,20250112,   13,   20,   56,   45
+  260,20250112,   14,   20,   53,   54
+  260,20250112,   15,   20,   50,   25
+  260,20250112,   16,   10,   21,    7
+  260,20250112,   17,   10,    7,    0
+  260,20250112,   18,   10,   11,    0
+  260,20250112,   19,   10,   15,    0
+  260,20250112,   20,   10,   13,    0
+  260,20250112,   21,   10,    8,    0
+  260,20250112,   22,   10,   -2,    0
+  260,20250112,   23,   10,    3,    0
+  260,20250112,   24,   10,    0,    0
+  260,20250113,    1,   10,  -15,    0
+  260,20250113,    2,   10,  -23,    0
+  260,20250113,    3,   10,  -28,    0
+  260,20250113,    4,   10,  -29,    0
+  260,20250113,    5,   10,  -28,    0
+  260,20250113,    6,   10,  -19,    0
+  260,20250113,    7,   20,   -8,    0
+  260,20250113,    8,   20,    4,    1
+  260,20250113,    9,   10,    4,    8
+  260,20250113,   10,   20,   24,   77
+  260,20250113,   11,   20,   39,   88
+  260,20250113,   12,   30,   49,  101
+  260,20250113,   13,   40,   51,  100
+  260,20250113,   14,   40,   47,   80
+  260,20250113,   15,   30,   43,   46
+  260,20250113,   16,   20,   26,   10
+  260,20250113,   17,   20,   10,    0
+  260,20250113,   18,   20,    8,    0
+  260,20250113,   19,   30,   11,    0
+  260,20250113,   20,   30,    3,    0
+  260,20250113,   21,   30,   -1,    0
+  260,20250113,   22,   30,  -13,    0
+  260,20250113,   23,   20,  -11,    0
+  260,20250113,   24,   30,  -13,    0
+  260,20250114,    1,   30,  -13,    0
+  260,20250114,    2,   30,  -12,    0
+  260,20250114,    3,   30,   -5,    0
+  260,20250114,    4,   30,    1,    0
+  260,20250114,    5,   30,    0,    0
+  260,20250114,    6,   20,   -2,    0
+  260,20250114,    7,   30,    4,    0
+  260,20250114,    8,   40,    7,    1
+  260,20250114,    9,   40,   12,   10
+  260,20250114,   10,   30,   16,   27
+  260,20250114,   11,   40,   30,   56
+  260,20250114,   12,   40,   41,   54
+  260,20250114,   13,   50,   49,   86
+  260,20250114,   14,   40,   45,   33
+  260,20250114,   15,   30,   46,   15
+  260,20250114,   16,   40,   45,    5
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+  260,20251224,    8,   50,    2,    1
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+  260,20251224,   11,   60,   25,   77
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+  260,20251224,   15,   60,   19,   30
+  260,20251224,   16,   60,   13,    3
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+  260,20251226,    8,   30,  -53,    1
+  260,20251226,    9,   20,  -47,   18
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+  260,20251226,   16,   30,   13,    3
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+  260,20251226,   18,   40,   -5,    0
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+  260,20251227,    5,   30,  -22,    0
+  260,20251227,    6,   30,  -19,    0
+  260,20251227,    7,   30,  -22,    0
+  260,20251227,    8,   40,  -19,    0
+  260,20251227,    9,   20,  -12,    6
+  260,20251227,   10,   20,   -1,   17
+  260,20251227,   11,   20,   16,   24
+  260,20251227,   12,   20,   28,   28
+  260,20251227,   13,   10,   37,   29
+  260,20251227,   14,   20,   45,   22
+  260,20251227,   15,   20,   43,    9
+  260,20251227,   16,   20,   43,    2
+  260,20251227,   17,   10,   37,    0
+  260,20251227,   18,   20,   48,    0
+  260,20251227,   19,   20,   50,    0
+  260,20251227,   20,   20,   51,    0
+  260,20251227,   21,   20,   55,    0
+  260,20251227,   22,   20,   56,    0
+  260,20251227,   23,   20,   56,    0
+  260,20251227,   24,   20,   51,    0
+  260,20251228,    1,   20,   52,    0
+  260,20251228,    2,   20,   53,    0
+  260,20251228,    3,   20,   45,    0
+  260,20251228,    4,   10,   33,    0
+  260,20251228,    5,   20,   43,    0
+  260,20251228,    6,   20,   43,    0
+  260,20251228,    7,   20,   31,    0
+  260,20251228,    8,   10,    7,    0
+  260,20251228,    9,   10,    7,   16
+  260,20251228,   10,   10,   44,   47
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+  260,20251228,   12,   30,   53,   85
+  260,20251228,   13,   30,   53,   80
+  260,20251228,   14,   30,   51,   60
+  260,20251228,   15,   20,   44,   28
+  260,20251228,   16,   20,   12,    3
+  260,20251228,   17,   10,  -14,    0
+  260,20251228,   18,   10,  -21,    0
+  260,20251228,   19,    0,  -34,    0
+  260,20251228,   20,   10,  -37,    0
+  260,20251228,   21,   10,  -37,    0
+  260,20251228,   22,   10,  -34,    0
+  260,20251228,   23,    0,  -44,    0
+  260,20251228,   24,   10,  -36,    0
+  260,20251229,    1,    0,  -35,    0
+  260,20251229,    2,    0,  -42,    0
+  260,20251229,    3,    0,  -26,    0
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+  260,20251229,    5,   10,   -8,    0
+  260,20251229,    6,   10,   -1,    0
+  260,20251229,    7,   10,    1,    0
+  260,20251229,    8,   10,    6,    1
+  260,20251229,    9,   10,   18,    5
+  260,20251229,   10,   10,   28,   12
+  260,20251229,   11,   10,   38,   15
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+  260,20251229,   16,   20,   60,    3
+  260,20251229,   17,   20,   56,    0
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+  260,20251230,    9,   20,    1,   18
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+  260,20260101,    9,   60,   34,    1
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+  260,20260101,   16,   60,   52,    1
+  260,20260101,   17,   60,   51,    0
+  260,20260101,   18,   50,   51,    0
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+  260,20260101,   20,   30,   28,    0
+  260,20260101,   21,   40,   34,    0
+  260,20260101,   22,   40,   19,    0
+  260,20260101,   23,   40,   20,    0
+  260,20260101,   24,   40,   21,    0
diff --git a/Weather&EPEX-data/WeersdataRotterdam_jan23-Okt24.txt b/WeatherAndEPEX-data/WeersdataRotterdam_jan23-Okt24.txt
similarity index 100%
rename from Weather&EPEX-data/WeersdataRotterdam_jan23-Okt24.txt
rename to WeatherAndEPEX-data/WeersdataRotterdam_jan23-Okt24.txt
diff --git a/Weather&EPEX-data/WeersdataRotterdam_jan23-sept24.txt.bak b/WeatherAndEPEX-data/WeersdataRotterdam_jan23-sept24.txt.bak
similarity index 100%
rename from Weather&EPEX-data/WeersdataRotterdam_jan23-sept24.txt.bak
rename to WeatherAndEPEX-data/WeersdataRotterdam_jan23-sept24.txt.bak
diff --git a/Weather&EPEX-data/WeersdataRotterdam_okt23-sept24.txt b/WeatherAndEPEX-data/WeersdataRotterdam_okt23-sept24.txt
similarity index 100%
rename from Weather&EPEX-data/WeersdataRotterdam_okt23-sept24.txt
rename to WeatherAndEPEX-data/WeersdataRotterdam_okt23-sept24.txt
diff --git a/Weather&EPEX-data/WindPowerLibData/.cdsapirc b/WeatherAndEPEX-data/WindPowerLibData/.cdsapirc
similarity index 100%
rename from Weather&EPEX-data/WindPowerLibData/.cdsapirc
rename to WeatherAndEPEX-data/WindPowerLibData/.cdsapirc
diff --git a/WeatherAndEPEX-data/WindPowerLibData/.vscode/settings.json b/WeatherAndEPEX-data/WindPowerLibData/.vscode/settings.json
new file mode 100644
index 0000000..ba2a6c0
--- /dev/null
+++ b/WeatherAndEPEX-data/WindPowerLibData/.vscode/settings.json
@@ -0,0 +1,4 @@
+{
+    "python-envs.defaultEnvManager": "ms-python.python:system",
+    "python-envs.pythonProjects": []
+}
\ No newline at end of file
diff --git a/Weather&EPEX-data/WindPowerLibData/4c55fd525f485af911f958fe3fbc827d.zip b/WeatherAndEPEX-data/WindPowerLibData/4c55fd525f485af911f958fe3fbc827d.zip
similarity index 100%
rename from Weather&EPEX-data/WindPowerLibData/4c55fd525f485af911f958fe3fbc827d.zip
rename to WeatherAndEPEX-data/WindPowerLibData/4c55fd525f485af911f958fe3fbc827d.zip
diff --git a/Weather&EPEX-data/WindPowerLibData/800d353174b027f15d576789101c623d.zip b/WeatherAndEPEX-data/WindPowerLibData/800d353174b027f15d576789101c623d.zip
similarity index 100%
rename from Weather&EPEX-data/WindPowerLibData/800d353174b027f15d576789101c623d.zip
rename to WeatherAndEPEX-data/WindPowerLibData/800d353174b027f15d576789101c623d.zip
diff --git a/WeatherAndEPEX-data/WindPowerLibData/ERA5_Windspeeds_Geldermalsen_2025.zip b/WeatherAndEPEX-data/WindPowerLibData/ERA5_Windspeeds_Geldermalsen_2025.zip
new file mode 100644
index 0000000..196c42f
Binary files /dev/null and b/WeatherAndEPEX-data/WindPowerLibData/ERA5_Windspeeds_Geldermalsen_2025.zip differ
diff --git a/WeatherAndEPEX-data/WindPowerLibData/ERA5_Windspeeds_Heibloem_2025.zip b/WeatherAndEPEX-data/WindPowerLibData/ERA5_Windspeeds_Heibloem_2025.zip
new file mode 100644
index 0000000..426b722
Binary files /dev/null and b/WeatherAndEPEX-data/WindPowerLibData/ERA5_Windspeeds_Heibloem_2025.zip differ
diff --git a/WeatherAndEPEX-data/WindPowerLibData/ERA5_Windspeeds_HoekVanHolland_2025.zip b/WeatherAndEPEX-data/WindPowerLibData/ERA5_Windspeeds_HoekVanHolland_2025.zip
new file mode 100644
index 0000000..723cc71
Binary files /dev/null and b/WeatherAndEPEX-data/WindPowerLibData/ERA5_Windspeeds_HoekVanHolland_2025.zip differ
diff --git a/Weather&EPEX-data/WindPowerLibData/ERA5_request.py b/WeatherAndEPEX-data/WindPowerLibData/ERA5_request.py
similarity index 93%
rename from Weather&EPEX-data/WindPowerLibData/ERA5_request.py
rename to WeatherAndEPEX-data/WindPowerLibData/ERA5_request.py
index 7158f9e..d7c6323 100644
--- a/Weather&EPEX-data/WindPowerLibData/ERA5_request.py
+++ b/WeatherAndEPEX-data/WindPowerLibData/ERA5_request.py
@@ -3,14 +3,14 @@
 import pandas as pd
 import cdsapi
 # Watthub lat/lon:
-lat = 51.86784
-lon = 5.323151
+#lat = 51.86784
+#lon = 5.323151
 # Hoek van Holalnd lat/lon:
 lat = 51.9803
 lon = 4.1287
 # Windpark Neer
-lat = 51.302572
-lon = 5.941777
+#lat = 51.302572
+#lon = 5.941777
 
 
 dataset = "reanalysis-era5-single-levels"
@@ -22,7 +22,7 @@
         "100m_u_component_of_wind",
         "100m_v_component_of_wind"
     ],
-    "year": ["2024"],
+    "year": ["2025"],
     "month": [
         "01", "02", "03",
         "04", "05", "06",
diff --git a/Weather&EPEX-data/WindPowerLibData/WindPowerTimeSeries.py b/WeatherAndEPEX-data/WindPowerLibData/WindPowerTimeSeries.py
similarity index 73%
rename from Weather&EPEX-data/WindPowerLibData/WindPowerTimeSeries.py
rename to WeatherAndEPEX-data/WindPowerLibData/WindPowerTimeSeries.py
index f72a45b..653b062 100644
--- a/Weather&EPEX-data/WindPowerLibData/WindPowerTimeSeries.py
+++ b/WeatherAndEPEX-data/WindPowerLibData/WindPowerTimeSeries.py
@@ -9,24 +9,27 @@
 import numpy as np
 
 # Watthub lat/lon:
-lat = 51.86784
-lon = 5.323151
+#lat = 51.86784
+#lon = 5.323151
 
-# Hoek van Holalnd lat/lon:
-lat = 51.9803
-lon = 4.1287
+# Hoek van Holland lat/lon:
+#lat = 51.9803
+#lon = 4.1287
 
 # Windpark Neer
 lat = 51.302572
 lon = 5.941777
 
-ds = xr.open_dataset("data_Heibloem.grib", engine="cfgrib")
+ds = xr.open_dataset("data_ERA5_Windspeeds_Heibloem_2025.grib", engine="cfgrib")
 
+# $$
 u = ds["u100"]
 v = ds["v100"]
 T = ds["t2m"]
 p = ds["sp"]
 
+# %%
+
 speed = np.sqrt(u**2 + v**2)
 speed.name = "wind_speed_100m"
 
@@ -39,12 +42,14 @@
 pressure_series = point_p.to_series()
 # %%
 
-times = pd.date_range("2024-01-01", "2025-01-01", freq="h", tz="UTC")
+times = pd.date_range("2025-01-01", "2026-01-01", freq="h", tz="UTC")
 times = times[:-1]  # drop last timestamp to have 8784 values
+
+# %%
 # example data (replace with your arrays)
-wind_speed = np.array(wind_speed_series)
-temp_k = np.array(temp_series)
-pressure = np.array(pressure_series)
+wind_speed = wind_speed_series.to_numpy(dtype=float)   # ← not np.array(…)
+temp_k = temp_series.to_numpy(dtype=float)
+pressure = pressure_series.to_numpy(dtype=float)
 
 
 # IMPORTANT: create a MultiIndex columns where second level is the measurement height
@@ -60,17 +65,16 @@
 data = np.column_stack([wind_speed, temp_k, pressure, np.full_like(wind_speed, 0.2)])
 weather_df = pd.DataFrame(data, index=times, columns=cols)
 
-
+# %%
 # --------------------------------------------------
 # 2) Define a wind turbine
 #    (built-in example from the “turbine library”)
 # --------------------------------------------------
 turbine = WindTurbine(
-    **{
-        "turbine_type": "E-126/4200",       # Enercon 4.2 MW
-        "hub_height": 135           # hub height [m]
-        # "rotor_diameter": 127        # [m]
-    }
+    turbine_type='E-126/4200',       # Enercon 4.2 MW
+    nominal_power=4_200_000,        # nominal power [W]
+    hub_height=135,           # hub height [m] 
+    rotor_diameter=127         # rotor diameter [m]
 )
 
 # --------------------------------------------------
@@ -88,5 +92,5 @@
 # %%
 # write to csv
 production_normalized = production / 4.2e6  # 
-production_normalized.to_csv("data_Heibloem_normalized_production.csv", header=True)
+production_normalized.to_csv("data_Heibloem_2025_normalized_production.csv", header=True)
 # %%
diff --git a/Weather&EPEX-data/WindPowerLibData/WindSpeeds100m_lat52lon4.zip b/WeatherAndEPEX-data/WindPowerLibData/WindSpeeds100m_lat52lon4.zip
similarity index 100%
rename from Weather&EPEX-data/WindPowerLibData/WindSpeeds100m_lat52lon4.zip
rename to WeatherAndEPEX-data/WindPowerLibData/WindSpeeds100m_lat52lon4.zip
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diff --git a/Weather&EPEX-data/WindPowerLibData/data_Heibloem.grib b/WeatherAndEPEX-data/WindPowerLibData/data_Heibloem.grib
similarity index 100%
rename from Weather&EPEX-data/WindPowerLibData/data_Heibloem.grib
rename to WeatherAndEPEX-data/WindPowerLibData/data_Heibloem.grib
diff --git a/Weather&EPEX-data/WindPowerLibData/data_Heibloem.grib.5b7b6.idx b/WeatherAndEPEX-data/WindPowerLibData/data_Heibloem.grib.5b7b6.idx
similarity index 100%
rename from Weather&EPEX-data/WindPowerLibData/data_Heibloem.grib.5b7b6.idx
rename to WeatherAndEPEX-data/WindPowerLibData/data_Heibloem.grib.5b7b6.idx
diff --git a/WeatherAndEPEX-data/WindPowerLibData/data_Heibloem_2025_normalized_production.csv b/WeatherAndEPEX-data/WindPowerLibData/data_Heibloem_2025_normalized_production.csv
new file mode 100644
index 0000000..e720862
--- /dev/null
+++ b/WeatherAndEPEX-data/WindPowerLibData/data_Heibloem_2025_normalized_production.csv
@@ -0,0 +1,8761 @@
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diff --git a/Weather&EPEX-data/WindPowerLibData/data_Heibloem_normalized_production.csv b/WeatherAndEPEX-data/WindPowerLibData/data_Heibloem_normalized_production.csv
similarity index 100%
rename from Weather&EPEX-data/WindPowerLibData/data_Heibloem_normalized_production.csv
rename to WeatherAndEPEX-data/WindPowerLibData/data_Heibloem_normalized_production.csv
diff --git a/Weather&EPEX-data/WindPowerLibData/data_HoekVanHolland.grib b/WeatherAndEPEX-data/WindPowerLibData/data_HoekVanHolland.grib
similarity index 100%
rename from Weather&EPEX-data/WindPowerLibData/data_HoekVanHolland.grib
rename to WeatherAndEPEX-data/WindPowerLibData/data_HoekVanHolland.grib
diff --git a/Weather&EPEX-data/WindPowerLibData/data_HoekVanHolland.grib.5b7b6.idx b/WeatherAndEPEX-data/WindPowerLibData/data_HoekVanHolland.grib.5b7b6.idx
similarity index 100%
rename from Weather&EPEX-data/WindPowerLibData/data_HoekVanHolland.grib.5b7b6.idx
rename to WeatherAndEPEX-data/WindPowerLibData/data_HoekVanHolland.grib.5b7b6.idx
diff --git a/WeatherAndEPEX-data/WindPowerLibData/data_HoekVanHolland_2025_normalized_production.csv b/WeatherAndEPEX-data/WindPowerLibData/data_HoekVanHolland_2025_normalized_production.csv
new file mode 100644
index 0000000..95221f7
--- /dev/null
+++ b/WeatherAndEPEX-data/WindPowerLibData/data_HoekVanHolland_2025_normalized_production.csv
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diff --git a/Weather&EPEX-data/WindPowerLibData/data_HoekVanHolland_normalized_production.csv b/WeatherAndEPEX-data/WindPowerLibData/data_HoekVanHolland_normalized_production.csv
similarity index 100%
rename from Weather&EPEX-data/WindPowerLibData/data_HoekVanHolland_normalized_production.csv
rename to WeatherAndEPEX-data/WindPowerLibData/data_HoekVanHolland_normalized_production.csv
diff --git a/Weather&EPEX-data/WindPowerLibData/data_WattHub_Geldermalsen.grib b/WeatherAndEPEX-data/WindPowerLibData/data_WattHub_Geldermalsen.grib
similarity index 100%
rename from Weather&EPEX-data/WindPowerLibData/data_WattHub_Geldermalsen.grib
rename to WeatherAndEPEX-data/WindPowerLibData/data_WattHub_Geldermalsen.grib
diff --git a/Weather&EPEX-data/WindPowerLibData/data_WattHub_Geldermalsen.grib.5b7b6.idx b/WeatherAndEPEX-data/WindPowerLibData/data_WattHub_Geldermalsen.grib.5b7b6.idx
similarity index 100%
rename from Weather&EPEX-data/WindPowerLibData/data_WattHub_Geldermalsen.grib.5b7b6.idx
rename to WeatherAndEPEX-data/WindPowerLibData/data_WattHub_Geldermalsen.grib.5b7b6.idx
diff --git a/WeatherAndEPEX-data/WindPowerLibData/data_WattHub_Geldermalsen_2025.grib b/WeatherAndEPEX-data/WindPowerLibData/data_WattHub_Geldermalsen_2025.grib
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diff --git a/Weather&EPEX-data/WindPowerLibData/data_WattHub_Geldermalsen_normalized_production.csv b/WeatherAndEPEX-data/WindPowerLibData/data_WattHub_Geldermalsen_normalized_production.csv
similarity index 100%
rename from Weather&EPEX-data/WindPowerLibData/data_WattHub_Geldermalsen_normalized_production.csv
rename to WeatherAndEPEX-data/WindPowerLibData/data_WattHub_Geldermalsen_normalized_production.csv
diff --git a/Weather&EPEX-data/WindPowerLibData/data_WattHub_Geldermalsen_production.csv b/WeatherAndEPEX-data/WindPowerLibData/data_WattHub_Geldermalsen_production.csv
similarity index 100%
rename from Weather&EPEX-data/WindPowerLibData/data_WattHub_Geldermalsen_production.csv
rename to WeatherAndEPEX-data/WindPowerLibData/data_WattHub_Geldermalsen_production.csv
diff --git a/Weather&EPEX-data/WindPowerLibData/data_bijHvHopZee.grib b/WeatherAndEPEX-data/WindPowerLibData/data_bijHvHopZee.grib
similarity index 100%
rename from Weather&EPEX-data/WindPowerLibData/data_bijHvHopZee.grib
rename to WeatherAndEPEX-data/WindPowerLibData/data_bijHvHopZee.grib
diff --git a/Weather&EPEX-data/WindSchiphol.csv b/WeatherAndEPEX-data/WindSchiphol.csv
similarity index 100%
rename from Weather&EPEX-data/WindSchiphol.csv
rename to WeatherAndEPEX-data/WindSchiphol.csv
diff --git a/Weather&EPEX-data/WindSchiphol.csv.bak b/WeatherAndEPEX-data/WindSchiphol.csv.bak
similarity index 100%
rename from Weather&EPEX-data/WindSchiphol.csv.bak
rename to WeatherAndEPEX-data/WindSchiphol.csv.bak
diff --git a/Weather&EPEX-data/WindTurbinePower.m b/WeatherAndEPEX-data/WindTurbinePower.m
similarity index 100%
rename from Weather&EPEX-data/WindTurbinePower.m
rename to WeatherAndEPEX-data/WindTurbinePower.m
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