Distributed solar energy is rapidly growing, and with that growth there is increasing need for tools to validate data collected on PV system configuration. Clean configuration data is the foundation for most fleet performance analytics, but large-scale deployments' data on location, orientation, and tilt are generally subject to human error. We cover a number of techniques to automatically validate location, orientation and tilt data. A PV system's location can be determined via three distinct methodologies. Each method leverages the system's production data with one approach using astronomical formulas, a second approach leveraging a network of systems with known locations, and a third approach that utilizes solar irradiance and system simulation models. A PV system's orientation and tilt can be determined via two distinct methodologies. Each method leverages the system's production data with one approach using the skew of production and another approach that utilizes solar irradiance and system simulation models.
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