AI platform aims to transform solar site assessment
Learnewable uses AI-based insights to detail local solar opposition before developers invest time or energy in projects.
Sigenergy says AI is key differentiator in its energy storage systems
Tony Xu, the founder and CEO of Sigenergy, says AI enables real-time insights, intelligent automation, and personalized energy management for residential and commercial and industrial (C&I) users, cutting energy costs by nearly 50% at a Polish warehouse using Sigen AI.
Powering the AI revolution
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.
Offshore vs. ground-mounted PV
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 rolls out PV module-mounting robot
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.
Unpacking solar-project data analytics
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.
Torus unveils flywheel, battery energy storage, AI-driven cybersecurity solutions
The Utah-based flywheel specialist and energy management company has recently unveiled its full-stack suite of commercial energy storage, management, and security products.
Data center specialist begins building 120 MW of solar in South Africa
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.
PV fault detection method based on deep learning of aerial images
Conceived an international research group, the proposed model uses the convolutional neural network (CNN) architecture U-Net for image segmentation and the the CNN architecture InceptionV3-Net for fault classification.
Sigenergy wants to conquer the commercial photovoltaic storage market with artificial intelligence
Sigenergy has been active in Germany since 2023 and was one of the first companies to present a bidirectional DC wallbox that is integrated into a photovoltaic storage system. Co-founder and CTO Samuel Zhang talks about Sigenergy’s story and its plans in expanding into the commercial market, integrating AI into their systems and the future of vehicle-to-grid technology. According to its own statement, the company, is now valued at 600 million euros.
