Artificial intelligence

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 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.

The world’s reliance on the internet, the shift to cloud computing, and the emergence of AI all fuel demand for more and more data centers. The International Energy Agency (IEA) projects that by 2026, data centers will consume more than 800 TWh annually, more than double their consumption in 2022. Tristan Rayner takes a look at the role that renewable generation plays in powering a digital world.

OptoGPT is a new algorithm that harnesses the computer architecture underpinning ChatGPT. Its creators say that it will enable researchers and engineers to design optical multilayer film structures for a wide range of applications, including solar cells.

Developed by scientists in China, the proposed approach uses mathematical morphologies for image processing, such as image enhancement, sharpening, filtering, and closing operations. It also uses image histogram equalization and edge detection, among other methods, to find the soiled spot.

AgRE.tech, which is developing a robotic operating system for existing photovoltaic infrastructure, has raised $2 million from EDF and Zemach Regional Industries. The company says it will soon set up commercial fields.

An international research group has sought to build for the first time a perovskite solar cell with the help of ChatGPT. The experiment helped the scientists identify a series of materials for the cell composition and the results were cells with a higher power conversion efficiency compared to that of reference cells built without the material proposed by the large language model.

Dismissed by many in the solar industry as an overly-complex, outdated technology, concentrated solar power (CSP) is set for a comeback thanks to a scaled-down, modular approach.

Researchers in China have applied a machine learning technology based on temporal convolutional networks in PV power forecasting for the first time. The new model reportedly outperforms similar models during all seasons.

Researchers in Japan have developed an automated system to perform photoabsorption and photoluminescence spectroscopy, optical microscopy, and white-light flash time-resolved microwave conductivity tests.