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SmartHelio - Climate Risk Assessment Software
SmartHelio provides a dynamic climate forecasting tool that addresses the inherent unpredictability and variability of renewable resources such as solar irradiance and wind speed. Traditional forecasting methods often rely on historical satellite data alone, resulting in inaccuracies and lack of localization. SmartHelio's solution utilizes advanced deep learning and machine learning algorithms to deliver highly accurate solar irradiance forecasts on a global scale. By incorporating over 100 variables, including climate change impacts, microclimate attributes, and human activity, SmartHelio achieves an impressive accuracy rate of over 98% in long-term forecasts. This tool is particularly beneficial for investors, independent power producers (IPPs), banks, and solar developers, aiding in the medium to long-term production forecasting necessary for improved return on investment and de-risked projects. With locations in Switzerland, the USA, and India, SmartHelio offers a robust solution for those involved in renewable energy projects to make data-driven decisions.
Determine the medium to long term production forecasting for better ROI and de-risked projects
Dynamic Climate Forecasting
Variability and unpredictability of renewable resources (solar irradiance and wind speed) are the most pressing limiting factors of any solar/wind energy system. The current solutions lack localisation of the forecast and they use only historical satellite data which is inaccurate
METHODOLOGY
Over 98% accuracy
Our cutting-edge service utilises advanced deep/machine learning algorithms to deliver comprehensive solar irradiance forecasts globally. By analysing extensive historical GHI data and incorporating factors such as climate change, microclimate attributes, and human factors, our accuracy reaches an impressive 98% in long-term forecasting
