PVG allocation generally involves optimal PV power sizing and locations for PVG installations in power distribution networks, which can be formulated as single or multiple related objective functions under specific power system constraints. This paper proposes an improved backtracking search...

Biomass transformation into fuels, platform chemicals and materials contributes to developing sustainability and carbon neutralization. Pyrolysis is one of the most important approaches to valorize biomass. The distributed activation energy model (DAEM) is a comprehensive kinetic model in...

Power loss reduction is one of the major important issues in power system studies. There are several methods, e.g., phase swapping in laterals and nodes, which both of them need asymmetrical power flow due to the nature of the distribution networks. However, existing methods need power flow...

Fractional-order chaotic power system parameter estimation is a multidimensional function optimization problem, and it is a prerequisite for controlling such systems. Aiming at the problem that the parameter estimation of a fractional-order chaotic power system is easily affected by external...

We use Deep Neural Networks to reconstruct GARCH parameters for empirical financial time series. The algorithm we develop, allows us to fit autocovariance of squared returns of financial data, with certain time lags, the second order statistical moment and the fourth order standardised moment....

Aiming at the problem of the low-velocity impact monitoring and localization of composite structures in the aerospace field, a real-time monitoring system based on fiber Bragg grating sensor network is designed, and a joint impact localization algorithm based on the correlation distance and the...

The variational calculus of time-scale non-shifted systems includes both the traditional continuous and traditional significant discrete variational calculus. Not only can the combination of $\Delta$ and $\nabla$ derivatives be beneficial to obtain higher convergence order in numerical analysis,...

In this paper, the theoretic analysis by stochastic dynamics and numerical simulation by ANN algorithm for tumor-immune models driven by random noises are studied. Firstly, a mathematical model about the competition between tumor cells and immune system is established based on the...

In this paper, a modal decomposition imaging (MDI) algorithm for detecting delamination defects in carbon fiber composite plates using air-coupled Lamb wave is proposed. Compared with the traditional time-domain imaging method, the proposed MDI algorithm contains the pretreatment of the echo...

This paper deals with parameter estimation problem of large-scale systems. A new Recursive Distributed Parameter Estimation Algorithm (RDPEA), based on the minimization of the prediction estimation error method, is developed. Specifically, we consider the class of large-scale systems that is...