Sökning: "modelleringsverktyg"

Visar resultat 16 - 17 av 17 avhandlingar innehållade ordet modelleringsverktyg.

  1. 16. Applied Machine Learning in Steel Process Engineering : Using Supervised Machine Learning Models to Predict the Electrical Energy Consumption of Electric Arc Furnaces

    Författare :Leo Carlsson; Pär Jönsson; Peter Samuelsson; Mikael Vejdemo-Johansson; Henrik Saxen; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Electric Arc Furnace; Electrical Energy Consumption; Statistical Modelling; Machine Learning; Interpretable Machine Learning; Predictive Modelling; Industry 4.0; Ljusbågsugn; Elenergiförbrukning; Statistisk Modellering; Maskininlärning; Tolkningsbar Maskininlärning; Prediktiv Modellering; Industri 4.0; Teknisk materialvetenskap; Materials Science and Engineering; Metallurgical process science; Metallurgisk processvetenskap;

    Sammanfattning : The steel industry is in constant need of improving its production processes. This is partly due to increasing competition and partly due to environmental concerns. One commonly used method for improving these processes is through the act of modeling. LÄS MER

  3. 17. Exploring low-carbon development pathways for Bolivia - A model-based analysis focused on the energy sector

    Författare :Jenny Gabriela Peña Balderrama; Viktoria Martin; Mark I. Howells; Dilip Khatiwada; Francesco Gardumi; Pachauri Shonali; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Decarbonization; Sustainability; Techno-economic analysis; Bolivia; Energy access; Energy security; Systems analysis; Energy Technology; Energiteknik;

    Sammanfattning : Global emissions have continued to rise steadily at levels exceeding the 1.5°C climate stabilization target. Therefore, the increase in the average global temperature and climate change will be determined by how we handle greenhouse gas (GHG) emissions over the next years. LÄS MER