Solar Inverter Outlier Analysis

Key Technologies: Databricks, Spark, Machine Learning, Python, SQL

The Challenge

Our client needed to validate the accuracy of solar inverter data and identify any important outliers during operations which might degrade performance on the array. Any problems needed to be monitored and reported to key stakeholders.

The Solution

Adinkra developed several scripts to automatically ingest and detect outliers across hundreds of inverter devices. We also created multiple event-based alerts for monitoring, and compelling graphics to visualize availability and production data.

The Impact

Our models helped the client create new alerts that could be used to monitor and identify problems quickly across hundreds of assets. Importantly, the client was able to now hold data providers accountable.

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