Solarad.ai provides an AI-driven platform that delivers hyperlocal solar irradiance forecasts and weather intelligence through advanced machine learning models and APIs. This technology enables solar PV plants to minimize grid penalties and optimize energy production, supporting over 2 GW of solar utility projects globally.
Funding
$450K 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.
Founders
Product
Problem
Solar photovoltaic (PV) plants face challenges in accurately predicting solar irradiance, leading to suboptimal energy production and increased grid penalties due to forecasting errors. Existing weather forecasting models often lack the hyperlocal precision and real-time adaptability required to effectively manage solar power generation.
Solution
Solarad.ai offers an AI-driven platform that delivers hyperlocal solar irradiance forecasts and weather intelligence to optimize solar energy asset performance. By leveraging advanced machine learning models and weather intelligence, the platform enables solar PV plants to minimize grid penalties and maximize energy sales. Solarad.ai provides a suite of data products and APIs that address energy analysis needs, from climate risk assessment to solar power forecasting. The platform's weather intelligence capabilities allow operators to monitor changing weather conditions and their impact on plant productivity, facilitating informed operational decisions.
Target Audience
The primary target audience includes solar PV plant operators, energy traders, and renewable energy companies seeking to improve forecasting accuracy, reduce grid penalties, and optimize energy production.
Features
- 14-day solar power production forecast with sub-hourly time resolution
- Ensemble machine learning (ML) and numerical weather prediction (NWP) models for enhanced accuracy
- Plane-of-array (POA) irradiance forecasting for PV trackers
- Hyperlocal weather monitoring and predictive insights
- Automated alerts for expected weather disruptions
- Real-time solar weather API, solar weather forecast API, and historical solar weather API
- Anomaly Map to visualize and identify deviations in solar irradiance