The use of machine learning (ML) and artificial intelligence (AI) in power converters represents the latest development in ...
Discover how a new AI system is revolutionizing energy management by merging machine learning and mathematical programming. This innovative approach ...
What core technological capabilities and innovations differentiate your company and position you for future success in the semiconductor market? High-Performance RF for Next-Generation Applications: ...
An international research team developed CyberSentry, a software framework using advanced deep learning and optimization techniques to enhance cybersecurity in SCADA systems for power plants and ...
Shallem, Greg Ravikovich and Eitan Har-Shoshanim examine how AI addresses the challenge of data overload in solar PV.
In an environment defined by labor shortages, rising uptime expectations and pressure to improve overall equipment effectiveness (OEE), simple data collection is no longer enough.
A research team led by Prof. Tianyu Wang and Jialin Meng from the School of Integrated Circuits and State Key Laboratory of Crystal Materials at Shandong University has developed the world’s first ...
This studentship will develop physics-informed Edge AI methods for predictive health management of batteries and power electronics in electrified vehicles under real-world driving conditions.
Reliable and scalable water level prediction is crucial in hydrology for effective water resources management, especially ...
Modern energy infrastructure is increasingly defined as cyber-physical systems where physical power distribution and digital communication are closely tied together. While this digitalization boosts ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results