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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
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