A data-driven scheduling knowledge management method for smart shop floor
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Computer Integrated Manufacturing"
DOI: 10.1080/0951192x.2022.2025622
Abstract: ABSTRACT The data-driven method has been widely used to mine knowledge from the smart shop floors’ production data to guide dynamic scheduling. However, the mined knowledge may be invalid when the production scene changes. In… read more here.
Keywords: smart shop; scheduling knowledge; knowledge; data driven ... See more keywords
Optimal Scheduling of Microgrid Based on Deep Deterministic Policy Gradient and Transfer Learning
Sign Up to like & getrecommendations! Published in 2021 at "Energies"
DOI: 10.3390/en14030584
Abstract: Microgrid has flexible composition, a complex operation mechanism, and a large amount of data while operating. However, optimization methods of microgrid scheduling do not effectively accumulate and utilize the scheduling knowledge at present. This paper… read more here.
Keywords: deep deterministic; deterministic policy; based deep; scheduling knowledge ... See more keywords