综合智慧能源2025，Vol.47Issue(2)：88-101,14.DOI:10.3969/j.issn.2097-0706.2025.02.009
深度神经网络在新型能源系统中的应用及展望
Application and prospects of deep neural network in new energy systems
摘要
Abstract
Driven by the"dual carbon"goal,new energy sources such as wind and solar energy are developing rapidly.However,challenges such as wind and solar curtailment,resource waste,and low storage efficiency persist in energy production,consumption,and storage processes.Therefore,it is imperative to develop more intelligent new energy systems.Deep neural network(DNN),a key technology in the development of next-generation artificial intelligence,has powerful capabilities in fitting complex functions due to its deep structure.It addresses the problem that traditional machine learning algorithms face when modeling and analyzing big data due to their limited ability to extract the most representative features from the data.The focus is on the application of DNN in new energy systems,providing an overview of DNN,the demand for DNN in new energy system,its applications in modeling and simulation,planning and optimization,operation and maintenance,operational control,and system management of new energy systems.The challenges of applying DNN in new energy systems are summarized and prospects for future development are outlined,aiming to provide reference for professionals in related industries.关键词
"双碳"目标/新型能源系统/深度神经网络/人工智能/机器学习/大数据分析/大语言模型Key words
"dual carbon"goal/new energy system/deep neural network/artificial intelligence/machine learning/big data analysis/large language model分类
能源科技引用本文复制引用
石鑫,刘奇央,高峰..深度神经网络在新型能源系统中的应用及展望[J].综合智慧能源,2025,47(2):88-101,14.基金项目
广州市重点领域研发计划项目(20220602JBGS04) （20220602JBGS04）
清华大学(电机系)-港华能源投资有限公司零碳智慧园区虚拟电厂技术联合研究中心项目(20216701035) Guangzhou Key Research and Development Program(20220602 JBGS04) （电机系）
Tsinghua University(Department of Electrical Engineering)-Towngas Energy Investment Limited Zero Carbon Smart Park Virtual Power Plant Technology Joint Research Project(20216701035) （Department of Electrical Engineering）
