High-precision monthly runoff prediction results are of great significance to regional water resource management. However, with the changes in human activity, climate, and underlying surface conditions, sequence presents highly nonlinear random characteristics. In order improve accuracy prediction, this study proposed a model based on fuzzy information granulation (FIG) back propagation neural ...

In this study, we investigated the application of conformal prediction (CP) concept in context short-term electricity price forecasting. particular, determined most important aspects related to utility CP, as well explaining why simple but highly effective idea has proved useful other areas and its characteristics make it promising for power applications. We compared performance CP with various...

Demand for spare parts, which is triggered by element failure, project schedule and reliability demand, etc., a kind of sensing data to the aftermarket service large manufacturing enterprises. Prediction demand parts plays crucial role in inventory management lifecycle quality large-scale In real-life applications, however, occurs randomly fluctuates greatly, sequence shows obvious intermittent...

Cellular Vehicle-to-Everything (C-V2X), as a next-generation V2X communication technique, has attracted much attention recently. Especially, SideLink (SL) of C-V2X in the mode 4 is promising technique for disseminating various information non-line-of-sight area via direct inter-vehicle without requiring base stations. In order to better prevent accidents, it important improve reliability and ad...

Accurately predicting the capacity of lithium battery is conducive to improving its safety. Affected by complex internal electrochemical reaction and external use conditions, prediction accuracy difficult guarantee; at same time, existing methods are unexplainable, resulting in inability trace process. Therefore, a model based on belief rule base with interpretability interval optimization stra...