In AIoT-based systems, sensors continuously collect high-frequency data such as vibration, temperature, pressure, and electrical signals. These data streams are processed by machine learning and deep ...

With such increased predictive knowledge of solar systems, these anomaly detectors can significantly reduce costs of O&M, a major component of project economics in solar development. There is great ...

Scientists in Japan have developed a new, highly efficient method for designing wireless power transfer (WPT) systems. Based on machine learning, the method enables a system to maintain stable voltage ...

AI is rapidly transforming global energy systems, from smart grids to virtual power plants. Bangladesh, however, is only beginning to explore its potential, risking a widening gap ...

The United States should strive toward an energy system with fewer barriers to innovation and more opportunities for consumers to access affordable and dependable power systems, decide how and when ...

What are Stackelberg games and how do they apply to power systems? What is an IEEE 9 bus? The Stackelberg game approach is defined as a strategic game in economics. It models a competition between a ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...

Machine learning enables cheaper and safer low-power magnetic resonance imaging (MRI) without sacrificing accuracy, according to a new study. According to the authors, these advances pave the way for ...

Artificial intelligence (AI) is transforming our world, but within this broad domain, two distinct technologies often confuse people: machine learning (ML) and generative AI. While both are ...