In this paper, a two-stage Bayesian learning-based approach is proposed to enable online
dynamic security assessment (DSA) and preventive control in power systems. To develop a …

High strength and high ductility are critical to metallic materials and have always been
pursued. A novel strategy to produce a medium Mn stainless steel with high dislocation density …

Total transfer capability (TTC) is an effective indicator to evaluate the transmission limit of the
interconnected systems. However, due to the large-scale wind power integration, operation …

Artificial neural network is proved to be an effective algorithm for dealing with recognition,
regression and classification tasks. At present a number of neural network implementations …

Artificial neural networks (ANNs) have been widely used in pattern recognition and classification
applications. However, ANNs are notably slow in computation especially when the size …

The rapid expansion of modern agriculture has spurred leading companies to establish smart
industrial parks in rural areas, facilitating integrated agri-product supply chains leveraging …

The cold and hypoxic environment threatens the health and quality of people's lives in
plateau areas. Appropriate air pressure, oxygen, and temperature are crucial for human-safe …

Energy storage systems (ESSs) can be used to participate in both the energy and reserve
markets to maximize their reserve benefits. In contrast to traditional thermal units, ESSs have …

With the expansion of distribution networks and increased penetration of distributed energy
resources (DERs), it is becoming increasingly important to obtain accurate distribution …

Electrocatalytic CO 2 reduction reaction (CO 2 RR) to formate offers a promising route for
carbon neutralization, but its reactivity is largely compromised due to the competitive hydrogen …