Browsing Fakultet for ingeniør- og naturvitskap / Faculty of Engineering and Science by Journals "Frontiers in Energy Research"
Now showing items 1-2 of 2
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Advancements in super-resolution methods for smart meter data
(Peer reviewed; Journal article, 2023)This paper presents a comprehensive review of super-resolution methods for smart meter data analysis. Smart meters provide valuable insights into household electricity consumption, but their low-frequency data limits the ... -
Fault detection of a wind turbine generator bearing using interpretable machine learning
(Peer reviewed; Journal article, 2023)During its operational lifetime, a wind turbine is subjected to a number of degradation mechanisms. If left unattended, the degradation of components will result in its suboptimal performance and eventual failure. Hence, ...