Boosting the complexity of the electricity network, penetration of renewable resources, and
modernization of power systems has resulted in an increase in the complexity of the power …

Spam represents a genuine irritation for email users, since it often disturbs them during their
work or free time. Machine learning approaches are commonly utilized as the engine of …

Considering technology's rapid development, traditional manufacturing methods are
insufficient to achieve the high accuracy demanded by aerospace, national defense, and …

The quality of starting point greatly influences the result and convergence efficiency of the
optimization algorithm, especially for the non-convex and constrained Alternating Current …

The primary contribution of this study is the proposal of an explainable deep-learning neural
network (ATTnet) that employs an attention mechanism to achieve accurate electricity spot …

When severe disturbance occurs in power system, lack of efficacious information about
transient stability state is a key challenge for power network operator. Especially for the …

Power system dispatch is a general concept with a wide range of applications. It is a special
category of optimization problems that determine the operation pattern of the power system …

Joint chance-constrained optimal power flow (JCC-OPF) is a promising tool for managing
distributed renewable generation uncertainties. However, existing works are usually based …

机器学**的可解释性是其在电力系统领域安全, 可靠应用的关键环节与重要基础之一.
针对电力系统智能分析的机器学**模型可解释性方法进行初步探讨. 首先 …

The power cyber–physical system (CPS) realizes the wide-area interconnection of new
energy sources and multiple loads and the dynamic interaction of information and energy …