PV*SOL Integrations

Airteam is an AI-powered software that converts aerial data from drones into digital building models. This allows photovoltaic planners, roofers, and contractors to measure and inspect buildings quickly and cost-effectively in 3D. This saves approximately 90% of the time of measurements vs. traditional methods such as tape measures and lasers. In comparison to satellite images, the Airteam 3D measurements and inspections are down to 1cm in accuracy.

Solcast is a cloud-based software designed to deliver precise, reliable historical, current, and predictive solar irradiance, weather, and photovoltaic (PV) power data tailored for renewable energy needs, using a versatile REST API along with developer tools. By monitoring real-time satellite cloud coverage and integrating it with sophisticated weather models, it provides solar irradiance predictions that range from five minutes to 14 days ahead with exceptional spatial and temporal accuracy, in addition to offering historical data spanning from 2007 to a week prior for performance assessment. The platform accommodates various PV power forecasting models, including Rooftop PV, Advanced PV, and Premium PV, which evaluate both actual and anticipated output for solar installations of any size. Its API delivers data in user-friendly JSON or CSV formats, making it easy to integrate with energy management software, analytical platforms, or tailored workflows. Additionally, developers can utilize native HTTP clients or software development kits (SDKs) such as Python and C#, complete with code samples, to seamlessly access and implement this data. This comprehensive approach positions Solcast as a crucial resource for optimizing solar energy operations.