Techno-economic assessment of hemicellulose extraction of softwood sawdust coupled with pelletising | 2025 Tyyppi A1 Journal article (refereed), original research Tekijä(t) Melin Kristian, Sermyagina Ekaterina, Saari Jussi, Lahti Jussi, Vakkilainen Esa, Mänttäri Mika, Kallioinen-Mänttäri Mari Energiasiirtymä Yliopiston johto LUT School of Engineering Sciences LUT School of Energy Systems
Quantification of implicit price flexibility of household customers’ load demand with machine learning and Shapley analysis | 2025 Tyyppi A1 Journal article (refereed), original research Tekijä(t) Haapaniemi Jouni, Haakana Juha, Räisänen Otto, Tikka Ville, Lassila Jukka, Rautiainen Antti Energiasiirtymä Energia- ja voimatekniikka Sähkötekniikka ja elektroniikka LUT-kauppakorkeakoulu LUT School of Energy Systems
Review on Silicon Carbide based High-Fundamental Frequency Inverters for High-Speed Drives | 2025 Tyyppi A1 Journal article (refereed), original research Tekijä(t) Upadhyay Deepak, Deliri Saeid, Mattsson Aleksi, Peltoniemi Pasi, Aarniovuori Lassi Energiasiirtymä LUT School of Energy Systems
Reutilization Potential of Fine Fraction from Construction and Demolition Waste in the Circular Economy | 2025 Tyyppi A1 Journal article (refereed), original research Tekijä(t) Lahtela Ville, Rasilainen Ida, Kärki Timo Muu painopiste LUT School of Energy Systems
Methodology to Analyse the Feasible Use of Battery Energy Storage Systems as Part of Electricity Distribution Network Asset Management | 2025 Tyyppi A1 Journal article (refereed), original research Tekijä(t) Haakana Juha, Haapaniemi Jouni, Räisänen Otto, Lassila Jukka Energiasiirtymä Sähkötekniikka ja elektroniikka LUT School of Energy Systems
Leveraging genetic algorithms and neural networks for stiffness and weight optimisation of an unmanned aerial vehicle (UAV) support arm | 2025 Tyyppi A1 Journal article (refereed), original research Tekijä(t) Müller Iuri H., Almeida Jr José Humberto S., Amico Sandro C., Tonatto Maikson L.P. Energiasiirtymä LUT School of Energy Systems
Tackling data scarcity in machine learning-based CFRP drilling performance prediction through a broad learning system with virtual sample generation (BLS-VSG) | 2025 Tyyppi A1 Journal article (refereed), original research Tekijä(t) Ge Jia, Yao Zequan, Wu Ming, Almeida Jr José Humberto S., Jin Yan, Sun Dan Energiasiirtymä LUT School of Energy Systems
