人工智能在国内新能源领域中的应用研究进展与趋势——基于CiteSpace的知识图谱分析  

Research Progress and Trends of Artificial Intelligence Application in Domestic New Energy Field:Knowledge Graph Analysis Based on CiteSpace

作　　者：吴湘繁[1] 刘雨欣 热比古丽·白克力 刘华宇 Wu Xiangfan;Liu Yuxin;Rebiguli·Baikeli;Liu Huayu(School of Business Administration,Xinjiang University of Finance and Economics,Urumqi 830013,China)

机构地区：[1]新疆财经大学工商管理学院,新疆乌鲁木齐830013

出　　处：《科技创业月刊》2025年第3期105-111,共7页Journal of Entrepreneurship in Science & Technology

基　　金：国家自然科学基金项目(72162032)。

摘　　要：随着深度学习、自然语言处理等人工智能技术的发展,人工智能在新能源领域的应用日益广泛。为了探究人工智能在我国新能源产业中的发展轨迹,利用CiteSpace软件对中国知网(CNKI)中关于人工智能与新能源交叉领域的文献进行了计量分析。分析结果表明:新能源领域赋能人工智能研究可分为初步应用、技术发展和全面应用3个阶段,并且研究热点主要集中在智能电网建设、新能源并网消纳、新能源汽车和综合能源系统等领域;人工智能在新能源领域的应用呈现精细化和全面化趋势,在攻克技术瓶颈、提高新能源利用效率和实现智能化优化方面具有巨大潜力。基于现有文献回顾,进一步展望了人工智能在未来新能源领域的应用前景。With the rapid development of artificial intelligence technologies such as deep learning and natural language processing,the application of AI in the new energy sector has become increasingly widespread.In order to explore the development trajectory of AI in China's new energy industry,this paper utilizes CiteSpace software to conduct a deep bibliometric analysis of literature related to the intersection of artificial intelligence and new energy in the China National Knowledge Infrastructure(CNKI)database.The analysis results show that:the research on empowering AI in new energy field can be divided into three stages:preliminary application,technology development and comprehensive application,and the research hotspots are mainly concentrated in the fields of smart grid construction,new energy grid integration,new energy automobile and comprehensive energy system;the application of AI in the new energy field presents the trends of refinement and comprehensiveness,and has great potential to overcome the bottlenecks of technology,improve the efficiency of new energy utilization,and The application of AI in the field of new energy presents two trends of refinement and comprehensiveness,which have great potential in overcoming technical bottlenecks,improving the efficiency of new energy utilization and realizing intelligent optimization.Based on the existing literature review,this paper further looks forward to the future application prospects of AI in the field of new energy.

关 键 词：人工智能 新能源 文献计量 知识图谱 

分 类 号：F424[经济管理—产业经济] TK019[动力工程及工程热物理]