Applications of deep reinforcement learning in nuclear energy: A review

Y Liu, B Wang, S Tan, T Li, W Lv, Z Niu, J Li… - … Engineering and Design, 2024 - Elsevier
In recent years, Deep reinforcement learning (DRL), as an important branch of artificial
intelligence (AI), has been widely used in physics and engineering domains. It combines the …

Application and Outlook of Artificial Intelligence Large Models in New Power System Operation Control

H Liu, W Hu, L Yu, K Wang… - 2024 3rd International …, 2024 - ieeexplore.ieee.org
Under the background of dual carbon goals and energy Internet construction, new energy is
booming, which also brings high uncertainty to the operation dispatching and optimal control …

Key Technologies and Prospects for Application of Intelligent Computing in Power Systems

Z Jun, PU Tianjiao, GAO Wenzhong, LIU Youbo… - Power Generation … - pgtjournal.com
[Objectives] With the construction and application of new power systems driven by my
country's" double carbon" goals, power systems characterized by high proportions of …

A new global Fintech index and its application to optimum policy generation based on reinforcement learning= Yeni bir küresel Fintech endeksi ve pekiştirmeli …

OŞ Ergüzel - 2023 - acikerisim.sakarya.edu.tr
The merger of technological applications with finance has taken its place in the literature as
Financial Technology (Fintech) starting from the 1990s, although it has become more …

电力系统智能计算的关键技术及应用展望

张俊, 蒲天骄, 高文忠, 刘友波, 裴玮, 许沛东, 高天露… - 发电技术 - pgtjournal.com
[目的] 随着我国“双碳” 目标所驱动的新型电力系统的建设和应用, 以高比例可再生能源和高电力
电子化等为特征的电力系统展现出前所未有的复杂动态特性, 给电力系统安全稳定运行提出新的 …

[CITA][C] 人工智能大模型在电力系统运行控制中的应用综述及展望

张俊, 徐箭, 许沛东, 陈思远, 高天露, 白昱阳 - 武汉大学学报 (工学版), 2023