Showing 1 - 10 of 41
Due to the distinct seasonal characteristics of hydropower, this study tries to propose a seasonal decomposition (SD) based least squares support vector regression (LSSVR) ensemble learning model for Chinese hydropower consumption forecasting. In the formulation of ensemble learning model, the...
Persistent link: https://www.econbiz.de/10010807936
In this paper, we consider a stochastic SIS epidemic model with vaccination. We prove that the densities of the distributions of the solution can converge in L1 to an invariant density under appropriate conditions. Also we find the support of the invariant density.
Persistent link: https://www.econbiz.de/10010874422
Accurate prediction of the remaining useful life (<i>RUL</i>) of lithium-ion batteries is important for battery management systems. Traditional empirical data-driven approaches for <i>RUL</i> prediction usually require multidimensional physical characteristics including the current, voltage, usage duration,...
Persistent link: https://www.econbiz.de/10011031261
In this paper, a novel hybrid ensemble learning paradigm integrating ensemble empirical mode decomposition (EEMD) and least squares support vector regression (LSSVR) is proposed for nuclear energy consumption forecasting, based on the principle of “decomposition and ensemble”. This hybrid...
Persistent link: https://www.econbiz.de/10011041250
Magnetic properties of a biaxial spin-1 system in an applied transverse field are investigated by using the effective-field theory with correlations on the basis of the differential technique. We have studied the effects of the transverse field on the phase diagrams, internal energy, and...
Persistent link: https://www.econbiz.de/10010589045
We investigate here self-organised criticality (SOC) in two-dimensional dissipative sandpile models without the local conservation law. Both dissipative cellular automata and dissipative coupled map lattice models with open boundary conditions are considered. There appears to be no evidence for...
Persistent link: https://www.econbiz.de/10010874956
We investigate the evolutionary behaviour of a 2-D dry froth with initial ordered/disordered conditions corresponding, respectively, to monodisperse/polydisperse topological networks. Using the direct simulation approach, we discuss the scaling properties of the cell side distribution, f(n), and...
Persistent link: https://www.econbiz.de/10011058187
The soap froth provides an idealised example of a cellular structure, which evolves or coarsens over laboratory time-scales and for which topological measures appear to provide an intuitive characterisation. However, froth is an intrinsically non-equilibrium system, and topological measures are...
Persistent link: https://www.econbiz.de/10011063598
Persistent link: https://www.econbiz.de/10006184045
Persistent link: https://www.econbiz.de/10006418729