Are you passionate about developing AI-based and quantum-inspired solutions for the next generation of sustainable energy systems? We are now looking for a fully funded Doctoral Researcher to work on ...

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 ...

About 45 doctoral candidates and 350 master’s students graduate from the school every year. The school is home to 700 staff members, including 70 professors. To learn more, please visit eng.aalto.fi.

Abstract: The diesel generators sets (DGs) and battery storage systems (BSS) are the essential energy sources in a modern high-rise buildings. In this paper DG, BSS and Photovoltaic system (PV) has ...

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?

Electricity theft and abnormal power consumption are major challenges in modern power distribution networks. Utilities lose significant revenue every year due to unauthorized electricity usage and ...

This webpage is a benchmark data set for keystroke dynamics. It is a supplement to the paper "Comparing Anomaly-Detection Algorithms for Keystroke Dynamics," by Kevin Killourhy and Roy Maxion, ...

As energy companies push AI deeper into industrial operations, success increasingly depends on governance, trusted data, and ...

Seattle-based Overland AI won a Marine Corps contract to produce more than a dozen autonomous ground vehicles, which the ...

As energy companies push AI deeper into industrial operations, success increasingly depends on governance, trusted data, and ...