Provides AI-powered predictive analytics and diagnostic tools for solar plants, enabling early detection of equipment failures and performance inefficiencies. By analyzing over 100 variables, including climate data, the platform reduces downtime, increases energy output by an average of 8%, and enhances safety through proactive fault identification.
Funding
$6.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
ISCVKFounders
Product
Problem
Solar power plants often experience performance losses due to undetected equipment failures, gradual degradation, and climate-related factors. Traditional monitoring systems and manual inspections are time-consuming and may fail to identify the root causes of underperformance, leading to reduced energy output and increased operational costs.
Solution
SmartHelio provides an AI-powered predictive analytics platform that enables early detection, classification, and prediction of faults in solar plants. By analyzing real-time data from existing plant sensors, combined with weather and environmental data, the platform identifies hidden inefficiencies and potential equipment failures before they impact performance. SmartHelio's solution offers automated diagnostics, customizable reporting, and actionable insights, allowing operators to optimize maintenance schedules, reduce downtime, and increase energy production. The platform's Climate Risk Assessment tool also forecasts long-term solar irradiance and wind speed, enabling informed investment decisions and climate-resilient asset management.
Target Audience
SmartHelio targets solar plant owners, operators, asset managers, and investors who seek to optimize plant performance, reduce operational costs, and mitigate financial risks associated with underperforming assets.
Features
- Predictive analytics for early fault detection and classification, including inverter failures, tracker dysfunction, and disconnected strings
- Climate Risk Assessment (CRA) tool that forecasts solar irradiance and wind speed by processing over 100 variables, including climate data, environmental factors, and urbanization trends
- Automated diagnostics that identify recoverable and non-recoverable losses, such as curtailment and degradation
- Seamless API integration with existing SCADA systems and third-party data sources
- Customizable reporting tools that generate detailed health reports and performance insights
- Component selection feature that recommends optimal components for solar installations based on climate risk assessment
- Data anonymization and secure data storage to ensure compliance with international standards