Wind A.I
AI-ENABLED TOOL FOR WIND ENERGY PREDICTION
Agric 3. Group 2
🌬️ Wind Energy Predictor AI
This AI-powered tool predicts wind energy production based on weather data you provide. It uses machine learning models trained on hourly environmental data to forecast potential wind energy output with high precision.
🚀 How It Works
Using key meteorological inputs such as temperature, humidity, wind speed, and wind direction, the tool models wind behavior to estimate energy production, aiding renewable energy planning and optimization.
📊 Input Format
The tool accepts a CSV file containing hourly weather data. It must include the following columns:
| Column Name | Description |
|---|---|
| Time | Date and time (e.g., 1/2/2017 0:00) |
| temperature_2m | Temperature at 2 meters (°C) |
| relativehumidity_2m | Relative humidity (%) |
| dewpoint_2m | Dew point (°C) |
| windspeed_10m | Wind speed at 10m (m/s) |
| windspeed_100m | Wind speed at 100m (m/s) |
| winddirection_10m | Wind direction at 10m (°) |
| winddirection_100m | Wind direction at 100m (°) |
| windgusts_10m | Wind gusts at 10m (m/s) |
✅ Example
Time,temperature_2m,relativehumidity_2m,dewpoint_2m,windspeed_10m,windspeed_100m,winddirection_10m,winddirection_100m,windgusts_10m 1/2/2017 0:00,28.5,85,24.5,1.44,1.26,146,162,1.4 1/2/2017 1:00,28.4,86,24.7,2.06,3.99,151,158,4.4 ...
🧠 AI Model Highlights
- Built using Recurrent Neural Networks (RNNs) for time-series data
- Handles missing values for inputs like temperature or humidity
- Trained on high-resolution hourly datasets
- Optimized for flexibility and performance
📦 Installation
Request code access; Dept. Agricultural and Biosystems Engineering . KNUST
🛠️ Usage
python predict.py --input data/your_weather_data.csv
The tool will output a CSV with predicted wind energy values per hour.
📈 Output Format
A new column predicted_energy_% will be added to your original file.
🧩 Coming Features
- Web UI for uploads and predictions
- Integration with live weather APIs
- Support for turbine-specific modeling
🙌 Contributing
Fork, clone, improve. Open issues or PRs for bugs, ideas, or features!
📜 License
MIT License – see LICENSE file for details.
Predict
Upload your daily weather data here (.csv file)
