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EPEX.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a15016fed72cf8b3e05d43073046e1687987e4b75edb355ab685f04c23989792
+size 408971

README.md

@@ -1,3 +1,212 @@
----
-license: cc-by-4.0
----
+---
+license: cc-by-4.0
+pretty_name: Liander 2024 Short Term Energy Forecasting Benchmark
+size_categories:
+- 1M<n<10M
+source_datasets:
+- original
+tags:
+- climate
+- energy
+- forecasting
+- time-series
+- weather
+- power-grid
+- profiles
+- price
+- electricity
+- load
+task_categories:
+- time-series-forecasting
+task_ids:
+- univariate-time-series-forecasting
+- multivariate-time-series-forecasting
+---
+
+# Dataset Card for Liander 2024 Weather Forecasting Benchmark
+
+[![Hugging Face Dataset](https://img.shields.io/badge/🤗%20Hugging%20Face-Dataset-blue)](https://huggingface.co/datasets/OpenSTEF/liander2024-stef-benchmark)
+
+This dataset provides a benchmark for short term energy forecasting models, combining electrical load measurements from Dutch DSO Liander with predictors like corresponding weather data from OpenMeteo, day-ahead electricity prices from ENTSO-E, and profiles of electricity consumption from Energiedatawijzer. The dataset covers the full year 2024 (2024-01-01 to 2025-01-01 UTC) and includes 55 different points in the grid across the Netherlands at various levels within the grid.
+
+The dataset is designed for developing and validating short-term energy forecasting models, particularly those that incorporate weather variables. It serves as a standardized benchmark for comparing different short term forecasting approaches in the energy domain.
+
+## Dataset Details
+
+- **Curated by:** [OpenSTEF](https://github.com/OpenSTEF)
+- **License:** Creative Commons BY 4.0 (CC BY 4.0). See below for specific source data licenses.
+- **Data Period:** 2024-01-01 to 2025-01-01
+- **Temporal Resolution:** 15-minute intervals for load measurements and profiles, hourly for weather data and prices (interpolated to 15-minute intervals)
+- **Geographic Coverage:** 55 points in the grid across the Netherlands in Liander service area
+- **Total Size:** ~3-6M data points across all components
+
+## Dataset Components
+
+The dataset consists of six main components:
+
+### 1. Load Measurements (`load_measurements/`)
+
+Electrical load (active power) measurements from various types of infrastructure managed by Dutch DSO Liander. All measurements are recorded at 15-minute intervals.
+
+**Location Types:**
+- **mv_feeder** (Medium Voltage Feeders): Outgoing medium voltage cables from primary substations
+- **station_installation** (Station Installations): Various primary substation installations  
+- **transformer** (Transformers): Power transformers at primary substations
+- **solar_park** (Solar Parks): Anonymized and normalized individual solar park measurements
+- **wind_park** (Wind Parks): Anonymized and normalized individual wind park measurements
+
+> [!NOTE]  
+> Solar and wind park data includes a 2-day availability delay to simulate data availability constraints at Dutch DSOs.
+
+| Column | Type | Unit | Description |
+|:------:|:----:|:----:|:-----------:|
+| timestamp | datetime64[ns, UTC] | - | Measurement timestamp in UTC |
+| load | float64 | W | Electrical load in watts |
+| available_at | datetime64[ns, UTC] | - | Data availability timestamp |
+
+### 2. Weather Measurements (`weather_measurements/`)
+
+Historical weather measurements from OpenMeteo for each load measurement location, providing ground truth weather conditions.
+
+| Column | Type | Unit | Description |
+|:------:|:----:|:----:|:-----------:|
+| temperature_2m | float32 | °C | Air temperature at 2 meters above ground |
+| relative_humidity_2m | float32 | % | Relative humidity at 2 meters above ground |
+| surface_pressure | float32 | hPa | Atmospheric pressure at surface level |
+| cloud_cover | float32 | % | Total cloud cover as area fraction |
+| wind_speed_10m | float32 | km/h | Wind speed at 10 meters above ground |
+| wind_direction_10m | float32 | ° | Wind direction at 10 meters above ground |
+| shortwave_radiation | float32 | W/m² | Shortwave solar radiation |
+| direct_radiation | float32 | W/m² | Direct solar radiation on horizontal plane |
+| diffuse_radiation | float32 | W/m² | Diffuse solar radiation |
+| direct_normal_irradiance | float32 | W/m² | Direct solar radiation on normal plane |
+
+### 3. Weather Forecasts (`weather_forecasts/`)
+
+Latest available weather forecasts from OpenMeteo (short horizon). These represent the best available forecast at each time point.
+
+> [!WARNING]  
+> This component is useful for simple forecasting experiments but is fully realistic for benchmarking since it does not simulate real-world forecast availability.
+
+| Column | Type | Unit | Description |
+|:------:|:----:|:----:|:-----------:|
+| temperature_2m | float32 | °C | Air temperature at 2 meters above ground |
+| relative_humidity_2m | float32 | % | Relative humidity at 2 meters above ground |
+| surface_pressure | float32 | hPa | Atmospheric pressure at surface level |
+| cloud_cover | float32 | % | Total cloud cover as area fraction |
+| wind_speed_10m | float32 | km/h | Wind speed at 10 meters above ground |
+| wind_speed_80m | float32 | km/h | Wind speed at 80 meters above ground |
+| wind_direction_10m | float32 | ° | Wind direction at 10 meters above ground |
+| shortwave_radiation | float32 | W/m² | Shortwave solar radiation |
+| direct_radiation | float32 | W/m² | Direct solar radiation on horizontal plane |
+| diffuse_radiation | float32 | W/m² | Diffuse solar radiation |
+| direct_normal_irradiance | float32 | W/m² | Direct solar radiation on normal plane |
+
+### 4. Versioned Weather Forecasts (`weather_forecasts_versioned/`)
+
+Time-versioned weather forecasts with lead times up to 7 days ahead, simulating real-world data availability. This component provides the most realistic forecasting scenario.
+
+> [!NOTE]  
+> This enables realistic evaluation where forecasts are only available at specific times with specific lead times, matching real-world operational constraints.
+
+| Column | Type | Unit | Description |
+|:------:|:----:|:----:|:-----------:|
+| timestamp | datetime64[ns, UTC] | - | Target forecast timestamp |
+| available_at | datetime64[ns, UTC] | - | When the forecast was available/created |
+| temperature_2m | float32 | °C | Air temperature at 2 meters above ground |
+| relative_humidity_2m | float32 | % | Relative humidity at 2 meters above ground |
+| surface_pressure | float32 | hPa | Atmospheric pressure at surface level |
+| cloud_cover | float32 | % | Total cloud cover as area fraction |
+| wind_speed_10m | float32 | km/h | Wind speed at 10 meters above ground |
+| wind_speed_80m | float32 | km/h | Wind speed at 80 meters above ground |
+| wind_direction_10m | float32 | ° | Wind direction at 10 meters above ground |
+| shortwave_radiation | float32 | W/m² | Shortwave solar radiation |
+| direct_radiation | float32 | W/m² | Direct solar radiation on horizontal plane |
+| diffuse_radiation | float32 | W/m² | Diffuse solar radiation |
+| direct_normal_irradiance | float32 | W/m² | Direct solar radiation on normal plane |
+
+## Uses
+
+This dataset is intended for energy forecasting research, providing a standardized benchmark for comparing different forecasting approaches in the energy domain. The dataset supports various forecasting horizons and scenarios:
+
+- **Operational Forecasting**: 15-minute to 24-hour ahead load predictions
+- **Day-ahead Congestion Management**: Using weather forecasts for next-day congestion predictions
+- **Multi-modal Forecasting**: Combining multiple infrastructure types and weather variables
+- **Uncertainty Quantification**: Using versioned forecasts to assess prediction uncertainty
+- **Weather-Energy Relationship Studies**: Analyzing correlations between weather variables and electrical load
+
+This dataset is compatible with various forecasting frameworks, including **[OpenSTEF](https://github.com/OpenSTEF/openstef)** (Open Short Term Energy Forecasting), classical time series models, machine learning approaches, and deep learning models.
+
+## Dataset Structure
+
+The dataset is organized in the following directory structure:
+
+```
+liander2024/
+├── liander2024_targets.yaml           # Location metadata with coordinates
+├── load_measurements/                 # Electrical load data
+│   ├── mv_feeder/                     # Medium voltage feeder measurements
+│   ├── station_installation/          # Substation installation measurements  
+│   ├── transformer/                   # Transformer measurements
+│   ├── solar_park/                    # Anonymized solar park measurements
+│   └── wind_park/                     # Anonymized wind park measurements
+├── weather_measurements/              # Historical weather data
+│   └── [same subdirectory structure as above]
+├── weather_forecasts/                 # Latest weather forecasts
+│   └── [same subdirectory structure as above]
+├── weather_forecasts_versioned/       # Time-versioned weather forecasts
+│   └── [same subdirectory structure as above]
+├── EPEX.parquet                       # Day-ahead electricity prices
+└── profiles.parquet                   # Electricity consumption profiles
+```
+
+Each subdirectory contains individual Parquet files for each location, named according to the location identifier.
+
+## Dataset Creation
+
+### Source Data
+
+#### Liander Historical Measurements
+- **Source**: [Liander Open Data - Historical 15-minute Operational Measurements](https://www.liander.nl/over-ons/open-data#historische-15-minuten-bedrijfsmetingen)
+- **License**: [See custom disclaimer](https://www.liander.nl/over-ons/open-data/disclaimer)
+- **Description**: 15-minute electrical load measurements from various infrastructure types across Liander's service territory
+- **Modifications made**: Converted into standardized Parquet format, added `available_at` timestamps.
+
+#### OpenMeteo Weather Data  
+- **Source**: [OpenMeteo Historical Weather API](https://open-meteo.com/)
+- **License**: CC BY 4.0
+- **Description**: Historical weather measurements and forecasts using the best available weather models
+
+#### ENTSO-E Day-Ahead Prices
+- **Source**: [ENTSO-E Transparency Platform](https://newtransparency.entsoe.eu/)
+- **License**: CC BY 4.0
+- **Description**: Day-ahead electricity prices for the Netherlands (EPEX Spot NL)
+- **Modifications made**: Converted into Parquet format, converted to UTC, added `available_at` timestamp based on availability of day ahead prices in NL.
+
+#### Energiedatawijzer Consumption Profiles
+- **Source**: [Energiedatawijzer - Profielen elektriciteit 2024](https://energiedatawijzer.nl/documenten/profielen-elektriciteit-2024/)
+- **License**: None, but permission granted for use in this dataset
+- **Description**: Standardized electricity consumption profiles for various customer categories in the Netherlands
+- **Modifications made**: Converted into Parquet format, converted to UTC added `available_at` timestamp, used first hour of the year to fill the last hour of the year to get a full UTC year.
+
+
+> [!NOTE]  
+> Location coordinates are approximate and may not represent exact facility locations. Solar and wind park data is normalized and anonymized for privacy. Weather data is interpolated from hourly to 15-minute resolution to match load measurements.
+
+## How to Use
+
+You can load the dataset directly from Hugging Face:
+
+```python
+from datasets import load_dataset
+import pandas as pd
+
+# Load the dataset
+dataset = load_dataset("OpenSTEF/liander2024-benchmark")
+
+# Access a specific file
+load_data = pd.read_parquet("hf://datasets/OpenSTEF/liander2024-benchmark/load_measurements/mv_feeder/OS Edam.parquet")
+weather_data = pd.read_parquet("hf://datasets/OpenSTEF/liander2024-benchmark/weather_measurements/mv_feeder/OS Edam.parquet")
+epex = pd.read_parquet("hf://datasets/OpenSTEF/liander2024-benchmark/EPEX.parquet")
+profiles = pd.read_parquet("hf://datasets/OpenSTEF/liander2024-benchmark/profiles.parquet")
+```

liander2024_targets.yaml

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+# Wind Parks, locations are centers of the described areas
+- name: Within Stadsregio Arnhem Nijmegen_normalized
+  group_name: wind_park
+  latitude: 51.914
+  longitude: 5.885
+- name: Within 15 kilometers of Opmeer_normalized
+  group_name: wind_park
+  latitude: 52.704
+  longitude: 4.944
+- name: Within 20 kilometers of Leeuwarden_normalized
+  group_name: wind_park
+  latitude: 53.202
+  longitude: 5.804
+- name: Within 15 kilometers of Alphen aan den Rijn_normalized
+  group_name: wind_park
+  latitude: 52.138
+  longitude: 4.663
+- name: Within 15 kilometers of Dronten_normalized
+  group_name: wind_park
+  latitude: 52.535
+  longitude: 5.721
+
+# Transformers
+- name: OS Apeldoorn
+  group_name: transformer
+  latitude: 52.201
+  longitude: 5.969
+- name: OS Middenmeer
+  group_name: transformer
+  latitude: 52.879
+  longitude: 5.046
+- name: RS Grouw (Grou)
+  group_name: transformer
+  latitude: 53.095
+  longitude: 5.839
+- name: RS Wieringerwerf
+  group_name: transformer
+  latitude: 52.851
+  longitude: 5.025
+- name: OS Lelystad
+  group_name: transformer
+  latitude: 52.575
+  longitude: 5.534
+- name: RS Poederoijen
+  group_name: transformer
+  latitude: 51.800
+  longitude: 5.061
+- name: OS Tiel
+  group_name: transformer
+  latitude: 51.898
+  longitude: 5.444
+- name: OS Doetinchem
+  group_name: transformer
+  latitude: 51.973
+  longitude: 6.273
+- name: OS Oterleek
+  group_name: transformer
+  latitude: 52.632
+  longitude: 4.835
+- name: OS Nijmegen
+  group_name: transformer
+  latitude: 51.857
+  longitude: 5.835
+- name: OS Amsterdam Hemweg
+  group_name: transformer
+  latitude: 52.404
+  longitude: 4.844
+- name: RS Surhuisterveen
+  group_name: transformer
+  latitude: 53.181
+  longitude: 6.163
+- name: OS Ede
+  group_name: transformer
+  latitude: 52.053
+  longitude: 5.666
+- name: RS Roodwillingen (Duiven)
+  group_name: transformer
+  latitude: 51.956
+  longitude: 6.028
+- name: RS Minnertsga
+  group_name: transformer
+  latitude: 53.251
+  longitude: 5.596
+
+# MV Feeders
+- name: OS Naarden
+  group_name: mv_feeder
+  latitude: 52.296
+  longitude: 5.159
+- name: OS Leiden Noord
+  group_name: mv_feeder
+  latitude: 52.174
+  longitude: 4.494
+- name: SS Harlingen
+  group_name: mv_feeder
+  latitude: 53.174
+  longitude: 5.423
+- name: OS Eibergen
+  group_name: mv_feeder
+  latitude: 52.100
+  longitude: 6.648
+- name: OS Sneek
+  group_name: mv_feeder
+  latitude: 53.030
+  longitude: 5.662
+- name: OS Weesp
+  group_name: mv_feeder
+  latitude: 52.309
+  longitude: 5.040
+- name: SS Ureterp
+  group_name: mv_feeder
+  latitude: 53.095
+  longitude: 6.172
+- name: OS Gorredijk
+  group_name: mv_feeder
+  latitude: 53.006
+  longitude: 6.062
+- name: OS Sassenheim
+  group_name: mv_feeder
+  latitude: 52.225
+  longitude: 4.522
+- name: OS Waarderpolder
+  group_name: mv_feeder
+  latitude: 52.391
+  longitude: 4.661
+- name: OS Edam
+  group_name: mv_feeder
+  latitude: 52.512
+  longitude: 5.048
+- name: OS Watergraafsmeer
+  group_name: mv_feeder
+  latitude: 52.350
+  longitude: 4.930
+- name: RS Angerlo
+  group_name: mv_feeder
+  latitude: 51.995
+  longitude: 6.133
+- name: SS Heerenveen Pim Mulier
+  group_name: mv_feeder
+  latitude: 52.960
+  longitude: 5.919
+- name: RS Roodwillingen (Duiven)
+  group_name: mv_feeder
+  latitude: 51.956
+  longitude: 6.028
+
+# Solar Parks, locations are centers of the described areas
+- name: Within 5 kilometers of Leeuwarden_normalized
+  group_name: solar_park
+  latitude: 53.205
+  longitude: 5.810
+- name: Within 15 kilometers of Oosterwolde_normalized
+  group_name: solar_park
+  latitude: 52.988
+  longitude: 6.295
+- name: Within 15 kilometers of Zutphen_normalized
+  group_name: solar_park
+  latitude: 52.144
+  longitude: 6.202
+- name: Within 20 kilometers of Rotterdam_normalized
+  group_name: solar_park
+  latitude: 51.923
+  longitude: 4.465
+- name: Within 10 kilometers of Westwoud_normalized
+  group_name: solar_park
+  latitude: 52.684
+  longitude: 5.133
+
+# Station Installations
+- name: OS Apeldoorn
+  group_name: station_installation
+  latitude: 52.201
+  longitude: 5.969
+- name: RS Hallum
+  group_name: station_installation
+  latitude: 53.307
+  longitude: 5.775
+- name: OS Almere
+  group_name: station_installation
+  latitude: 52.360
+  longitude: 5.263
+- name: SS Stiens
+  group_name: station_installation
+  latitude: 53.257
+  longitude: 5.762
+- name: OS Herbayum
+  group_name: station_installation
+  latitude: 53.183
+  longitude: 5.505
+- name: OS Westhaven
+  group_name: station_installation
+  latitude: 52.404
+  longitude: 4.842
+- name: OS Zevenhuizen
+  group_name: station_installation
+  latitude: 52.029
+  longitude: 4.585
+- name: RS Anklaar
+  group_name: station_installation
+  latitude: 52.231
+  longitude: 5.985
+- name: SS Noordwolde
+  group_name: station_installation
+  latitude: 52.895
+  longitude: 6.142
+- name: OS Zevenaar
+  group_name: station_installation
+  latitude: 51.926
+  longitude: 6.101
+- name: OS Bergum
+  group_name: station_installation
+  latitude: 53.212
+  longitude: 6.029
+- name: OS Texel
+  group_name: station_installation
+  latitude: 53.054
+  longitude: 4.799
+- name: RS Waskemeer
+  group_name: station_installation
+  latitude: 53.057
+  longitude: 6.280
+- name: RS Wamel
+  group_name: station_installation
+  latitude: 51.876
+  longitude: 5.453
+- name: OS Drachten
+  group_name: station_installation
+  latitude: 53.107
+  longitude: 6.069

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