Smart grids, which constitute intelligent infrastructure in smart cities, provide reliable, energy-
efficient, and high-quality power to improve the standard of living while maintaining a …

Building an efficient, safe, and sustainable energy system has been listed as one of the
national energy development strategies in China. Through unified management and …

大语言模型(LLM) 是一种利用大规模文本语料库进行预训练和微调的深度学习语言模型. 目前,
在通识问答, 文本生成和科学推理等方面已展现出强大的能力. 在此背景下, 文中探索了基于LLM …

Industrial Internet of unmanned aerial vehicles (IIoUAVs) that enable autonomous inspection
and measurement of anything anytime anywhere have become an essential component of …

Reliability and load balancing are essential techniques for smart grids that enable reliable
electricity delivery to end customers. A smart grid needs configuration and restoration …

Wind energy is rapidly growing. While wind brings us clean and inexpensive energy, its
inherent variability and uncertainty present challenges for the power grid. In particular …

Large-scale power outages can affect the economy of the country and jeopardize the lives of
millions of people, so there is a need for a fast, reliable, and self-healing tool to reduce these …

Supply restoration from outages is essential for improving the self-healing ability of active
distribution networks (ADNs). Soft open point (SOP) refers to a novel power electronic …

The resilience of modern power systems has been constantly threatened by various natural
disasters and manmade attacks. Under those threats, fast and automatic restoration actions …

Microgrids (MGs) can operate in an islanded mode and serve as black-start resources for
power system restoration (PSR). In this work, a model predictive control (MPC) based …