Researchers from South Korea improved solar panel dust detection by using SMOTE and stable diffusion (SD) augmentation, with SD boosting detection accuracy from 76.5% to 98.9% while preserving spatial realism.
The United Kingdom is inviting AI and energy specialists to identify datasets that could make its energy system more efficient, secure and digitized.
Envision Energy has launched a fully integrated energy storage solution combining hardware, software, and market-facing AI to optimize performance, safety, and trading. Its “Physical AI” platform embeds intelligence across cells, systems, and operations, enabling predictive maintenance and real-time market participation.
Learnewable uses AI-based insights to detail local solar opposition before developers invest time or energy in projects.
Developers from the renewable energy and data center markets are working to find common ground to meet surging energy demand fueled by the artificial intelligence boom.
Researchers in Saudi Arabia have compared the performance of ground-mounted PV plants with that of off-shore solar facilities and have found that floating installations benefit from the cooling effect of the seawater.
Leapting will soon deploy a PV module-mounting robot at a project in Australia. It says the automatic installation speed of the AI-driven machine can reach one panel per minute, delivering an estimated 30% reduction in installation costs on utility-scale solar projects.
The PV industry is embracing artificial intelligence and machine learning (ML) techniques to automate operations and maintenance (O&M) diagnostics and predictive analytics in PV systems. More transparency and standard definitions are needed, however, as US-based Sandia Labs scientists Joshua Stein and Marios Theristis explain.
The Utah-based flywheel specialist and energy management company has recently unveiled its full-stack suite of commercial energy storage, management, and security products.
South African data center company Teraco has started building a 120 MW solar plant. The project, which secured grid capacity in February, is expected to go online in 2026.
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