DNV SolarFarmer
Bankable 3D-aware PV yield simulations, from automated layout to sub-hourly energy outputs, all in one streamlined tool.
Investment-grade PV power models built for the realities of the renewable energy industry
Solcast offers three solar power forecasting models - Rooftop PV, Advanced PV and Premium PV - that model PV power for assets of any scale or complexity. With a single API call you can model historical, live and forecast PV power, either in your own notebooks, inside energy platforms, or in your own energy software tool.
Machine-learning PV model trained on site SCADA, blending neural networks and statistical methods to account for availability, curtailment and custom ramp-rate alerts. When every basis-point counts, the Premium PV power model delivers adaptive, ultra-low-error solar energy forecasting for complex assets and hybrid portfolios.
High-fidelity physical model for utility-scale plants and asset operations. Built on pvlib with proprietary Solcast extensions, the model accepts up to 20 configurable parameters allowing you to tune the model to improve performance. Model and forecast power at 5- to 60-minute resolution - ideal for asset management, market bidding and scheduling where sub-percent error matters.
Use a fleet-scale empirical model for systems below 1 MW to model rooftop PV without detailed site specifications. Provide only latitude/longitude and capacity (tilt, azimuth optional) to receive 5- to 60-minute PV weather forecast and modelled actuals - perfect for DER aggregation, residential software, smart EV charging and battery optimisation.
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What outputs do the models provide?
All four models return continuous, gap-free time-series in kW or MW: estimated actuals (-7 days to “now”) and forecasts (“now” to +14 days) at 5-, 15- or 60-minute resolution.
How do I decide which model to use?
Choose by data availability and accuracy target: Advanced PV for high-spec utility sites, Rooftop PV for low-spec sub-MW fleets, Premium PV Power Model (PVML) when you have SCADA and need ultra-low error.
What geographic coverage is included?
Global. The models leverage Solcast’s 1–2 km satellite data and NWP grids, so you can request forecasts for any coordinate worldwide without local sensors.
Can the models handle snow, soiling or curtailment?
Yes. Rooftop PV Power and Advanced PV Power include dynamic snow-cover and soiling factors and Premium PV Power ingests SCADA availability/curtailment tags to refine training.
How do I access the data?
Via RESTful JSON or CSV API endpoints. You can also use the Solcast Toolkit for quick testing, bulk downloads and site management.
Are academic or research licences available?
Yes—discounted licences are offered to accredited researchers and universities.
What support do Solcast and DNV provide?
Solcast offers onboarding guides, sample code, email support and an optional Accuracy-Assist tuning service. DNV provides detailed documentation, training webinars and next-business-day email support..