In engineering systems with uncertain parameters, it is crucial for system analysis and
control to analyze the relationship between these uncertain parameters and system outputs …

The advancement and proliferation of digitalization and communication infrastructure have
facilitated the rise of real-time bidding markets in smart grids. In these dynamic markets …

Prudent and sensible deployment of local storage may unlock the potential of mitigating the
adverse impact, especially addressing the challenge of uncertainty from independent …

The large-scale application of renewable energy can promote the global goal of carbon
neutrality. However, the stochastic nature of wind and solar energy aggravates the active …

Abstract Three-dimensional (3D) multiphysics models are powerful tools for investigating the
distributions of physical quantities such as temperature inside solid oxide cell (SOC) stacks …

In power systems, there are many uncertainty factors such as power outputs of distributed
generations and fluctuations of loads. It is very beneficial to power system analysis to …

In this paper, we apply flexibility-based operational planning method to microgrid (MG) unit
commitment (UC). The problem is formulated based on model predictive control (MPC) …

The investigation of stochastic optimal power flow (SOPF) is to seek the optimal solution of
static stability constrained optimal power flow considering the uncertainty of parameters in …

In this work, the use of a multilayer perceptron feedforward neural network is proposed to
capture the solution of the long-horizon finite control set model predictive control (FCS-MPC) …

The highly fluctuated renewable generations and electric vehicles have undergone
tremendous growth in recent years. Most of them are connected to the grid via power …