Due to the feasibility of gray model for predicting time series with small samples, theory is well investigated since it presented and currently evolved in an important manner forecasting samples. This study proposes a new prediction criterion based on neural ordinary differential equation, which named mode. mode permits be learned by training process contains whitening equation. It needed prep...

Abstract A combined prediction model based on long short-term memory neural network (LSTM) and convolutional (CNN) is proposed in order to increase the accuracy of load. To address issue that gray wolf optimization (GWO) search process prone falling into local optimum. An improved grey algorithm (IGWO) update convergence factor using lower incomplete gamma function improve global performance. T...

Generally, the long-medium power load forecasting sequence has small sample, stochastic growth and nonlinear wave characteristics. Gray and SVM model could reflect the relationship between growing characters-tics and nonlinear characteristics to the series effectively and make fitting calculation. The paper modifies the proposed gray model through posterior-error-test and compares the predictiv...

Due to the continuous improvement of productivity, transportation demand freight volume is also increasing. It difficult organize efficiently when quite large. Therefore, predicting total amount goods transported essential in order ensure efficient and orderly transportation. Aiming at optimizing forecast volume, this paper predicts Xi’an based on Gray GM (1, 1) model Markov forecasting model. ...

The prediction of mine accident is the basis of aviation safety assessment and decision making. Gray prediction is suitable for such kinds of system objects with few data, short time, and little fluctuation, and Markov chain theory is just suitable for forecasting stochastic fluctuating dynamic process. Analyzing the coal mine accident human error cause, combining the advantages of both Gray pr...

In this study, the effect of a scale-aware convective parameterization scheme (CPS) on simulation heavy precipitation in gray-zone was investigated using Weather Research and Forecasting (WRF) model. We performed WRF simulations with Kain–Fritsch (KF) (non-scale-aware), Multiscale (MSKF) (scale-aware), explicit convection (i.e., no CPS). The MSKF uses parameter that modulates available potentia...