Predicts future energy generation of each energy source using historical data, system parameters, and weather forecasts.
Forecasts future energy consumption at different consumption levels (e.g., building level, appliance level, etc.)
Real-time monitoring and predictive maintenance to reduce costs and downtime.
Scalability and Sustainability:
Tailored Solutions: Designed for scalability across various equipment and configurations of nano-grids, mini-grids, and micro-grids.
Sustainable Operations: Promotes environmental sustainability by integrating renewable energy sources efficiently.
Integration and Cost-Effectiveness:
Optimized Energy Use: Utilizes AI-based algorithms to intelligently manage energy supply, storage, grid integration, and demand.
Efficiency Maximization: Ensures maximum energy efficiency through intelligent energy management.
Real-time Monitoring:
Demand-Side Management:Aligns energy usage with availability, optimizing overall performance.
Operations and Maintenance Management: Reduced costs and downtime with predictive maintenance, extending the lifespan of infrastructure.
Sustainable and cost-effective energy to communities lacking reliable electricity, enhancing livelihoods and socio-economic development.
Increased reliability even in grid-connected areas, reducing sudden power outages and contributing to a more stable power grid.
Real-time energy management, reducing reliance on non-renewable sources, reducing costs and carbon emissions.