SmartHelio has developed a solar AI tool with 98.5% accuracy, using socio-economic details and climate data for predictive analytics.
SmartHelio, a Swiss-based solar energy software developer, launches its AI-powered suite, which offers up to 98.5% accuracy in predicting global horizontal irradiance (GHI) and wind resources, along with 95% accuracy in predicting outages . It is designed to reduce risks for future PV investments and brownfield acquisitions.
The suite includes the predictive Autopilot solution and a climate risk assessment (CRA) tool that uses meteorological data to guide investment decisions. It also offers a component selection function, which ensures flexibility, safety and cost-efficiency for solar installations.
SmartHelio will debut the AI-powered suite at RE+ 2024 from September 9 to 12 in Anaheim, California.
“PV plant management is fraught with inefficiencies, mainly due to fragmented data and outdated reporting methods that slow decision-making and expose investors to significant financial risks. Addressing these challenges is critical to improving performance and profitability in the industry,” said Govinda Upadhyay, CEO of SmartHelio. “Many tools deliver improvements in market performance, but factories using SmartHelio’s AI-powered solution have seen as much as a sixfold return on their investment.”
The CRA tool combines socio-economic data, including urbanization trends, deforestation and aerosol concentration, with microclimatic factors. It predicts solar radiation and wind speed by analyzing more than 100 variables, such as historical and real-time weather data, local environmental factors such as proximity to lakes or mountains, global climate indices such as El Niño/La Niña, and human influences such as pollution and urbanization. .
SmartHelio claims that the Autopilot platform provides recommendations for future development and optimal plant operation, allowing operators and owners to maximize capacity and minimize costs. This allows them to avoid downtime and reduce operational and replacement costs by 80%.
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