Blar i Institutt for vareproduksjon og byggteknikk på tidsskrift "IEEE Transactions on Industrial Informatics"
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A Blockchain-Empowered Cluster-based Federated Learning Model for Blade Icing Estimation on IoT-enabled Wind Turbine
(Peer reviewed; Journal article, 2022)Wind energy is a fast-growing renewable energy but faces the blade icing. Data-driven methods provide talented solutions for blade icing detection but a considerable amount of data need to be collected to a central server, ... -
A Class-Imbalanced Heterogeneous Federated Learning Model for Detecting Icing on Wind Turbine Blades
(Peer reviewed; Journal article, 2022)Wind farms are typically located at high latitudes, resulting in a high risk of blade icing. Data-driven approaches offer promising solutions for blade icing detection, but they rely on a considerable amount of data. Data ...