Shypd.aiThe largest open index of AI toolsSolar Unsoiled is a workflow automation tool that optimizes solar farm cleaning schedules. It uses machine learning and predictive modeling to maximize profit from solar assets.
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Solar Unsoiled offers a comprehensive, data-driven solution for fleet-wide, proactive soiling mitigation in solar farms. The platform leverages machine learning to isolate soiling losses from operational data, providing an up-to-date view of performance trends. It combines historical performance with local climate and atmospheric data from NASA's global climate model to build site-specific predictive models for future soiling losses. This enables forecasting, prioritizing, and budgeting for cleanings years in advance, factoring in PPAs and cleaning costs to maximize ROI across an entire fleet. Additionally, Solar Unsoiled provides a proprietary microscopy method for quick, on-site soiling measurement, offering a cheaper and faster alternative to IV curve tracing. This solution helps energy asset owners, O&M service providers, solar cleaning companies, and solar EPCs optimize operations, reduce costs, and improve confidence in performance.
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Not publicly disclosed. Check solarunsoiled.com for current pricing.
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