A precise short-term load forecasting technique is required for the economic and reliable operation of power system. Modern load forecasting techniques especially ANN methods are attractive as they have the ability to handle the non-linear relationships between load, weather temperature and the factors affecting it directly. In this paper, an investigation on the use of ANN for short term load ...

This paper proposes a data-driven graphical framework for the real-time search of risky cascading fault chains (FCs). While identifying FCs is pivotal to alleviating failures, complex spatio-temporal dependencies among components power system render challenges modeling and analyzing FCs. Furthermore, faces an inherent combinatorial complexity that grows exponentially with size system. The propo...

The research on the sustainability evaluation of innovation and entrepreneurship education for clean energy majors in colleges universities can not only cultivate more better innovative entrepreneurial talents development sustainable but also provide a reference other majors. To achieve systematic comprehensive scientific evaluation, this paper proposes an model based SPA-VFS Chaos bat algorith...

In vitro rooting as one of the most critical steps micropropagation is affected by various extrinsic (e.g., medium composition, auxins) and intrinsic factors species, explant). Passiflora in adventitious a difficult, complex, non-linear process. Since multivariable complex biological process, efficient reliable computational approaches such machine learning (ML) are required to model, predict, ...

this paper presents the application of three main artificial neural networks (anns) in damage detection of steel bridges. this method has the ability to indicate damage in structural elements due to a localized change of stiffness called damage zone. the changes in structural response is used to identify the states of structural damage. to circumvent the difficulty arising from the non-linear n...

in the present study, sodium alginate microparticle for oral delivery of furosemide was designed whether the encapsulation into microparticles might improve the oral absorption of this potent loop diuretic. we described preparation of microspheres based on ionotropic gelation method and characterized its physicochemical properties. to acquire an optimum formulation, a generalized regression neu...