Update README.md

README.md

@@ -1,4 +1,23 @@
 ---
+dataset_name: hourly-load-curve-ons
+tags:
+- energy
+- electricity
+- power-grid
+- time-series
+- hourly
+- Brazil
+- smart-grid
+- ons
+license: cc-by-4.0
+language:
+- en
+- pt
+pretty_name: Hourly Load Curve - ONS (Brazil)
+task_categories:
+- time-series-forecasting
+size_categories:
+- 10M<n<100M
 dataset_info:
   features:
   - name: id_subsistema
@@ -21,3 +40,34 @@ configs:
   - split: train
     path: data/train-*
 ---
+
+# 🇧🇷 Hourly Load Curve - ONS (Brazil)
+
+This dataset contains hourly electricity load data for Brazil, published by the **ONS - National Electric System Operator**. It spans from the year 2000 to the present (currently 2025), with continuous updates.
+
+## 📌 Description
+
+The data represents the **hourly electricity demand** profile across the Brazilian National Interconnected System (SIN). It is especially suitable for:
+
+- Electricity load forecasting
+- Energy demand pattern analysis
+- Time series and machine learning modeling
+- Smart grid simulation and optimization
+- Academic research and planning studies
+
+## 🗃️ Dataset Structure
+
+The data is provided in `.csv`, `.xlsx`, and `.parquet` formats and organized by year (2000–2025). Each row corresponds to a specific hour of a year and includes:
+
+- Date and time
+- Total load of the SIN
+- Load per subsystem (SE/CO, South, North, Northeast)
+
+## 🧪 Example Usage
+
+```python
+import pandas as pd
+
+# Load one year of hourly data
+df = pd.read_parquet("CurvaCarga-2023.parquet")
+print(df.head())