As one of the fastest-growing new energy sources, wind power technology has attracted widespread attention from all over world. In order to improve quality generation, speed prediction is an indispensable task. this paper, error correction-based Variational Mode Decomposition and Broad Learning System (VMD-BLS) hybrid model proposed for prediction. First, decomposed into multiple components by ...

Thermal error compensation is one of the most research-oriented topics in manufacturing with rising importance industry. This paper presents an innovative Industry 4.0 application thermal for precision engineering. A federated learning-based approach running cloud applied to two machine tools, located at ETH Zürich, and another TU Wien. Although environmental conditions behaviour both machines ...