News

T&D World

Sandia National Laboratories’ Research Team Develop AI Algorithms to Detect Physical Issues, Cyberattacks within Grid

Sandia National Laboratories cybersecurity expert Adrian Chavez, left, and computer scientist Logan Blakely work to integrate ...

Jingzhida (688627.SH): Continuing to Layout Around AI-Driven High Computing Power, High Storage, and Deep Human-Machine Interaction Needs

On September 11, Gelonghui reported that Jingzhida (688627.SH) stated on its interactive platform that the company continues to innovate in technology and intellectual property layout in the ...

Jingzhida (688627.SH): Future Layouts Will Focus on AI-Driven High Computing Power, High Storage, and Deep Human-Machine Interaction Needs

On September 11, Gelonghui reported that Jingzhida (688627.SH) stated on its interactive platform that the company continues to innovate technology and develop intellectual property in the ...
IEEE

Autoencoder-Based and Physically Motivated Koopman Lifted States for Wind Farm MPC: A Comparative Case Study

Abstract: This paper explores the use of Autoencoder (AE) models to identify Koopman-based linear representations for designing model predictive control (MPC) for wind farms. Wake interactions in wind ...
IEEE

A CNNs-Transformer Hybrid Masked Autoencoder With Contrastive Learning for Landslide Extraction

Abstract: Landslide extraction plays a critical role in disaster prevention and mitigation. However, acquiring sufficient landslide samples is often challenging, significantly limiting the performance ...