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On large solar sites with thousands of panels, fuses, and strings in a DC array, the task of finding and fixing DC faults becomes especially challenging and costly. An AI-powered solution not only pinpoints where failures have occurred through real-time monitoring and analysis, it also quantifies the resulting energy loss from each occurrence. In this use case, you will:

Discover why traditional approaches to finding and fixing solar DC field faults are inefficient, and how AI overcomes these challenges.

Learn how an AI-enabled solution can optimize DC field health.

Understand how SparkCognition Industrial AI Suite for Renewables reduces maintenance costs and increases energy production.

USE CASE

Maximize Solar Power Production Using AI to Detect DC Field Faults

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