AI-Powered · Real-Time Monitoring · ML-Based Energy Prediction · Location Aware
A futuristic Smart Wind Energy Monitoring System built using Machine Learning, Meteorological Data, and Real-Time Location Intelligence to monitor wind conditions and estimate turbine power generation.
This system combines weather intelligence, predictive analytics, and turbine physics modelling to provide smart insights into renewable energy performance.
Real-Time Wind Monitoring Track live environmental parameters such as:
- Wind Speed
- Temperature
- Location-based weather conditions
Machine Learning Energy Prediction Uses trained ML models to estimate wind turbine energy output based on atmospheric conditions.
Location Detection
- Automatic GPS/IP-based location detection
- Manual Pincode support
- Real-time regional weather intelligence
Turbine Configuration Controls Configure:
- Rated Capacity
- Threshold Values
- Wake Turbine Settings
- Streamlit
- Custom CSS Styling
- Python
- Scikit-Learn
- Random Forest Model
- XGBoost
- Pandas
- NumPy
- Matplotlib
- Weather API Integration
- Secure API handling using Streamlit Secrets