Abstract: This paper proposes a predictive techno-economic analysis in terms of voltage stability and cost using regression-based machine learning (ML) models and effectiveness of the analysis is ...

Abstract: Model predictive control (MPC) is considered as a promising control strategy for power electronic converters and drive systems due to its merits of simplicity, fast-dynamic response, and ...

Contribute to the progress of engineering and science by solving key industry challenges! Are you looking for a design or research project idea with real industry relevance and societal impact?

Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of ...

Are you ready to make a lasting impact on the future of Asia and be a catalyst for positive change? We are thrilled to offer a unique opportunity to become an important part of the prestigious Asian ...

Physicists at the University of California, Irvine, have developed an artificial intelligence system that can autonomously ...

Some AI models designed to predict stroke and diabetes risk may be based on datasets whose origins cannot be verified, ...

A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.

OpenAI is set to launch GPT-5.6 after a US security review, raising new questions for enterprise AI access, safeguards, and governance. If you can only read one tech story a day, this is it. We use ...

For power engineers, Python has become the default glue language for automation, data analysis, and algorithm development. In the meantime, QSPICE has emerged as a high-performance SPICE-class ...

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...