The tool aims to help installers streamline and improve quality control by analyzing the large volume of jobsite documentation they create every day and verifying project compliance in real time.
Swish Solar has an AI-driven tool that optimizes solar panel cleaning schedules to reduce soiling losses and operating costs. The platform uses data analytics and forecasting models to help operators time cleaning based on financial impact.
The platform uses AI to automate solar design and financing for residential contractors.
The AI-enabled platform aims to unblock the financing and M&A pipeline for complex energy projects.
The solar equipment and software provider said its new platform will help installers complete jobs faster and reduce the need for repeat truck rolls.
The U.S. company said its Power Control software is designed to help installers reduce costs and streamline interconnection. Among its features is the ability to control aggregate system exports through software-based limits.
Contractors can now export solar panel placements from drone models into racking design software to automate bills of materials.
The software tool developed by Stony Brook University uses self-supervised learning to detect long-term solar equipment damage weeks or years before manual inspections find it.
Civ Robotics’ artificial intelligence (AI) powered navigation system tool is currently being tested at several large solar parks in the United States. The company says it eliminates the need for manual surveying with a sensor device fitted on a construction machine to guide operators to precisely place piles, pallets and PV modules.
Learnewable uses AI-based insights to detail local solar opposition before developers invest time or energy in projects.
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