SolarAnywhere® SystemCheck®

Core Features

SolarAnywhere SystemCheck is built around a satellite-based performance benchmarking methodology. By combining irradiance measurements, weather data, and PV production modelling, it provides an independent estimate of expected system output that can be compared against actual generation. Key capabilities include:

• Real-Time PV Production Estimation – Independently estimates expected energy production for distributed PV systems using satellite-derived solar resource data.

• Performance Benchmarking – Compares actual output against weather-normalized expectations to identify underperforming assets.

• Portfolio-Wide Monitoring – Supports performance evaluation of individual installations or large fleets through a consistent data framework.

• Asset Management Analytics – Provides resource and production data used to assess profitability, performance ratios, and operational trends.

• O&M Decision Support – Helps operators diagnose issues, reduce downtime, and avoid unnecessary field visits through scalable monitoring workflows.

• API-Based Integration – Delivers data through APIs and dashboards, enabling integration with existing monitoring, analytics, and asset-management systems.

Closing Insights

SolarAnywhere SystemCheck was introduced by Clean Power Research in 2012 as part of the company's broader SolarAnywhere portfolio of solar resource intelligence products. Clean Power Research, founded in 1998, has long specialized in data-driven software and analytics for the energy sector. SystemCheck emerged from the recognition that owners of distributed solar fleets needed an affordable and consistent way to determine how much energy systems should be producing under actual weather conditions, without installing and maintaining dedicated irradiance-monitoring hardware at every site.

A notable aspect of SystemCheck is its reliance on satellite-derived irradiance data and PV modelling rather than site-based instrumentation. This enables standardized benchmarking across large portfolios spread over multiple regions. The platform also benefits from SolarAnywhere's long-standing collaboration with researchers at the University at Albany (SUNY), including work associated with solar scientist Dr. Richard Perez and related irradiance modelling methodologies.

Recent development has focused on improving SolarAnywhere datasets and modelling capabilities, including enhanced data accuracy, expanded API services, and support for advanced applications such as bifacial PV modelling, soiling assessment, and solar-plus-storage analysis. Pricing for SystemCheck is based on the number of monitored PV systems and is available through direct quotation. For organizations managing distributed solar assets at scale, the platform offers an alternative to hardware-intensive monitoring approaches while integrating readily into existing operational workflows.