Nonlinear stochastic modeling has significant role in the all discipline of sciences.The essential control measuring features of modeling are positivity,boundedness and dynamical consistency.Unfortunately,the existing...Nonlinear stochastic modeling has significant role in the all discipline of sciences.The essential control measuring features of modeling are positivity,boundedness and dynamical consistency.Unfortunately,the existing stochastic methods in literature do not restore aforesaid control measuring features,particularly for the stochastic models.Therefore,these gaps should be occupied up in literature,by constructing the control measuring features numerical method.We shall present a numerical control measures for stochastic malaria model in this manuscript.The results of the stochastic model are discussed in contrast of its equivalent deterministic model.If the basic reproduction number is less than one,then the disease will be in control while its value greater than one shows the perseverance of disease in the population.The standard numerical procedures are conditionally convergent.The propose method is competitive and preserve all the control measuring features unconditionally.It has also been concluded that the prevalence of malaria in the human population may be controlled by reducing the contact rate between mosquitoes and humans.The awareness programs run by world health organization in developing countries may overcome the spread of malaria disease.展开更多
Plug-in electric vehicle(PEV) load modeling is very important in the operation and planning studies of modern power system nowadays. Several parameters and considerations should be taken into account in PEV load model...Plug-in electric vehicle(PEV) load modeling is very important in the operation and planning studies of modern power system nowadays. Several parameters and considerations should be taken into account in PEV load modeling, making it a complex problem that should be solved using appropriate techniques. Different techniques have been introduced for PEV load modeling and each of them has individual specifications and features. In this paper, the most popular techniques for PEV load modeling are reviewed and their capabilities are evaluated. Both deterministic and probabilistic methods are investigated and some practical and theoretical hints are presented. Moreover, the characteristics of all techniques are compared with each other and suitable methods for unique applications are proposed. Finally, some potential research areas are presented for future works.展开更多
文摘Nonlinear stochastic modeling has significant role in the all discipline of sciences.The essential control measuring features of modeling are positivity,boundedness and dynamical consistency.Unfortunately,the existing stochastic methods in literature do not restore aforesaid control measuring features,particularly for the stochastic models.Therefore,these gaps should be occupied up in literature,by constructing the control measuring features numerical method.We shall present a numerical control measures for stochastic malaria model in this manuscript.The results of the stochastic model are discussed in contrast of its equivalent deterministic model.If the basic reproduction number is less than one,then the disease will be in control while its value greater than one shows the perseverance of disease in the population.The standard numerical procedures are conditionally convergent.The propose method is competitive and preserve all the control measuring features unconditionally.It has also been concluded that the prevalence of malaria in the human population may be controlled by reducing the contact rate between mosquitoes and humans.The awareness programs run by world health organization in developing countries may overcome the spread of malaria disease.
文摘Plug-in electric vehicle(PEV) load modeling is very important in the operation and planning studies of modern power system nowadays. Several parameters and considerations should be taken into account in PEV load modeling, making it a complex problem that should be solved using appropriate techniques. Different techniques have been introduced for PEV load modeling and each of them has individual specifications and features. In this paper, the most popular techniques for PEV load modeling are reviewed and their capabilities are evaluated. Both deterministic and probabilistic methods are investigated and some practical and theoretical hints are presented. Moreover, the characteristics of all techniques are compared with each other and suitable methods for unique applications are proposed. Finally, some potential research areas are presented for future works.
