Overview
SmartHelio, a Swiss clean-tech startup, partnered with Banao Technologies to develop an AI-powered software platform that predicts faults, improves energy yield, and enhances operational efficiency for solar plants worldwide. The vision was to become the 'doctor for solar PV systems' by detecting hidden inefficiencies and preventing costly downtimes through predictive insights.
Industry
Energy & SustainabilityBusiness type
CleanTech Startup
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Impact After Deployment
After the launch of the AI-powered ‘Autopilot’ platform, solar operators experienced faster fault detection, improved asset performance, and reduced O&M costs. The system’s predictive engine helped diagnose and locate inefficiencies before they escalated, leading to consistent ROI improvements and more sustainable operations across large-scale solar portfolios.
Key results achieved after deployment
0+
faults detected and resolved annually through AI diagnostics,
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solar assets under management globally, and
0%
increase in average solar plant performance efficiency.
Challenge
Solar operators were struggling with undetected faults and energy losses due to limited visibility into panel performance and delayed maintenance responses. These inefficiencies not only impacted production but also increased operational costs and equipment wear.
Our Solution
Banao Technologies engineered SmartHelio’s ‘Autopilot’ — a predictive analytics platform leveraging AI, IoT, and physics-based modeling. The solution analyzed sensor data in real time, created a digital twin of the solar plant, predicted anomalies, and recommended corrective actions to prevent losses and extend asset lifespan.
Features Implemented:
- Physics-based AI fault prediction engine
- Digital twin modeling for solar plants
- Real-time data visualization and reporting dashboard
- AI-powered diagnostic insights with ROI tracking
Key Features Implemented
An intelligent monitoring ecosystem combining predictive analytics, fault detection, and autonomous maintenance insights.
AI-Powered Fault Detection
Automatically identifies and predicts solar plant anomalies with high accuracy using AI-based pattern recognition.
Digital Twin Simulation
Replicates real-world solar performance digitally to forecast maintenance needs and energy output variations.
Smart O&M Dashboard
Provides a centralized, real-time view of solar asset health, energy yield, and actionable alerts for maintenance teams.
Predictive ROI Optimization
Uses AI-driven analytics to estimate potential revenue losses and suggest corrective measures for maximum returns.
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Frequently Asked Questions
How accurate is the AI prediction model?
The AI model achieved over 95% accuracy in detecting faults within the first four months of deployment.
Does SmartHelio require new hardware installation?
No, it integrates seamlessly with existing solar plant sensors and monitoring systems.
What financial impact did the platform deliver?
Operators saw an average $200,000 increase in annual revenue per plant, with ROI achieved within a few months.
Can this solution be scaled across multiple plants?
Yes, the platform supports multi-plant management and central monitoring for utility-scale solar networks.