Sökning: "Physics-Informed Neural Networks"

Hittade 3 avhandlingar innehållade orden Physics-Informed Neural Networks.

  1. 1. Physics-Informed Neural Networks and Machine Learning Algorithms for Sustainability Advancements in Power Systems Components

    Författare :Federica Bragone; Stefano Markidis; Kateryna Morozovska; Tor Laneryd; Michele Luvisotto; Matthias Ehrhardt; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Physics-Informed Neural Networks; Machine Learning; Data-Driven Methods; Circular Economy; Power Systems Components; Sustainability; Cellulose Nanofibrils; Fysikinformerade Neurala Nätverk; Maskininlärning; Datadrivna Metoder; Cirkulär Ekonomi; Kraftsystemets Komponenter; Hållbarhet; Cellulosananofibriller; Datalogi; Computer Science;

    Sammanfattning : A power system consists of several critical components necessary for providing electricity from the producers to the consumers. Monitoring the lifetime of power system components becomes vital since they are subjected to electrical currents and high temperatures, which affect their ageing. LÄS MER

  3. 2. Integrating Prior Knowledge into Machine Learning Models with Applications in Physics

    Författare :Philipp Pilar; Niklas Wahlström; Thomas B. Schön; Arto Klami; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Machine learning; Maskininlärning;

    Sammanfattning : At the extremes, two antithetical approaches to describing natural processes exist. Theoretical models can be derived from first principles, allowing for clear interpretability; on the downside, this approach may be infeasible or inefficient for complex systems. LÄS MER

  4. 3. Machine Learning Techniques for Enhanced Heat Transfer Modelling

    Författare :Jerol Soibam; Rebei Bel Fdhila; Ioanna Aslanidou; Konstantinos Kyprianidis; Andrea Ianiro; Mälardalens universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Energy- and Environmental Engineering; energi- och miljöteknik;

    Sammanfattning : With the continuous growth of global energy demand, processes from power generation to electronics cooling become vitally important. The role of heat transfer in these processes is crucial, facilitating effective monitoring, control, and optimisation. LÄS MER