AI & Generative Tech · Energy
AI-Powered Solar Energy Optimization
AI-powered solar energy management platform with real-time monitoring, performance optimization, and predictive maintenance. Increased solar panel efficiency by 15% and reduced maintenance costs by 40%. The platform uses machine learning to predict solar generation, optimize panel angles, detect faults early, and maximize energy output. Features include weather-based forecasting, automated panel cleaning scheduling, and grid integration optimization. Serves 1,000+ solar installations with 500MW+ total capacity. Our solution improved energy generation by 15%, reduced maintenance downtime by 50%, and increased ROI by 25% through intelligent optimization and predictive maintenance.
- Client
- SolarAI Energy
- Sector
- Energy
- Scope
- AI & Generative Tech
- Timeline
- 8 months
What we built
1,000+ installations, 15% efficiency increase, 40% maintenance cost reduction, 500MW+ capacity, 25% ROI improvement
Before: Real-time solar generation prediction
After: Trained accurate prediction models
Before: Optimizing panel performance
After: Implemented optimization algorithms
Before: Early fault detection
After: Developed fault detection system
Before: Weather integration accuracy
After: Integrated weather APIs
Before: Multi-site management
After: Built centralized management platform
Also in the build
- AI-powered solar optimization
- Real-time panel monitoring
- Predictive maintenance
- Weather-based forecasting
- Automated panel cleaning
- Grid integration optimization
- Performance analytics
- Mobile apps
- Alert system
- Multi-site management
- Battery management
- Financial reporting
The stack behind it
Delivered over 8 months.
Technologies
Python · TensorFlow · PyTorch · React · Node.js · PostgreSQL · MQTT · InfluxDB · Grafana · AWS IoT · Docker · Kubernetes · Redis · TimescaleDB · MLflow
Built with
The Digiboffins services we worked through. Each one you can start with on its own.
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