Short-term energy-consumption prediction is the basis of anomaly detection, real-time scheduling, and energy-saving control in manufacturing systems. Most existing methods focus on single-node energy-consumption prediction and suffer from difficult parameter collection and modelling. Although several methods have been presented for multinode energy-consumption prediction, their prediction performance needs to be improved owing to a lack of appropriate knowledge guidance and learning networks for complex spatiotemporal relationships.
View Article and Find Full Text PDFChronic respiratory disease (CRD) caused by Mycoplasma gallisepticum (MG) in chickens leads to enormous economic damage to the poultry industry yearly. The active components and mechanism of action of the traditional herbal remedy Ephedra houttuynia powder (EHP), which had been approved for clinical treatment against MG infection in China, remain unknown. In this study, the active components of EHP against MG were screened using a network pharmacological method, additionally, we studied the mechanism of action of the screened results (quercetin (QUE)).
View Article and Find Full Text PDF