Study on forecasting method of power engineering cost based on BIM and DynGCN
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DOI: 10.1371/journal.pone.0322202
Abstract: In view of the shortcomings of power engineering cost in precision and dynamic in big data environments, this paper proposes building information modelling (BIM) and spatiotemporal modelling-based dynamic graph convolutional neural networks (DynGCN). This study… read more here.
Keywords: engineering; dyngcn; cost; power engineering ... See more keywords