Energy and AI

Energy and AI is an open access journal published by Elsevier in the United Kingdom as the official journal of Tianjin University, launched in 2020, which focuses on the cross-disciplinary area of energy and artificial intelligence and held a 2025 Journal Impact Factor of 9.7《能源与人工智能》（Energy and AI）是爱思唯尔（Elsevier）在英国出版的开放获取期刊，为天津大学官方期刊，创刊于 2020 年，聚焦能源同人工智能的交叉领域，2025 年影响因子为 9.7。

Scope

• It provides a fast and authoritative open access platform to disseminate the latest research progress in the cross-disciplinary area of energy and artificial intelligence, focusing on innovative applications of AI that address critical challenges in energy systems, energy materials, energy chemistry, energy utilisation and conversion, and energy and society该刊提供快速而权威的开放获取平台，传播能源同人工智能交叉领域的最新研究进展，聚焦应对能源系统、能源材料、能源化学、能源利用与转换以及能源与社会等关键挑战的人工智能创新应用。
• It also considers papers on the development of bespoke AI technologies and methodologies for advancing energy, decarbonisation and sustainable development, such as data-driven approaches, optimisation algorithms and AI ethics该刊亦接收面向能源、脱碳与可持续发展、开发定制人工智能技术与方法的论文，例如数据驱动方法、优化算法与人工智能伦理。
• Papers purely focusing on a single aspect of energy or AI are not suitable for the journal仅聚焦能源或人工智能单一方面的论文不适合在本刊发表。
• Focal points include automation of science discovery related to energy materials and chemistry, digital twinning or big data analytics of complex energy processes and systems, and data-driven design of energy materials, devices and systems关注重点包括与能源材料及化学相关的科学发现自动化、复杂能源过程与系统的数字孪生或大数据分析，以及能源材料、器件与系统的数据驱动设计。
• Focal points also include internet-of-things and cyber-physical energy systems, AI for human factors in energy-related activities, virtual reality applied to energy and environment, and autonomous systems for energy efficiency maximalisation关注重点还包括物联网与信息物理能源系统、能源相关活动中人为因素的人工智能方法、应用于能源与环境领域的虚拟现实，以及实现能效最大化的自主系统。
• Focal points further include hardware for data collection in energy systems, data science for energy applications, hybrid data-driven and physical modelling, intelligent control of energy systems, AI safety, reliability and ethics within energy applications, AI for life-cycle assessment or decarbonisation roadmaps, and energy robotics关注重点亦包括能源系统数据采集硬件、面向能源应用的数据科学、数据驱动与物理建模的混合方法、能源系统的智能控制、能源应用中的人工智能安全、可靠性与伦理、用于生命周期评价或脱碳路线图的人工智能，以及能源机器人。
• It considers full length, short communications, perspective and review articles, publishes 4 volumes per year, and welcomes contributions that support and advance the United Nations sustainable development goals, in particular SDG 7 on affordable and clean energy该刊接收全文、短通讯、观点与综述文章，每年出版 4 卷，并欢迎支持与推进联合国可持续发展目标的投稿，尤其是关于可负担清洁能源的（SDG 7）。

History

• The journal launched in 2020 and is published by Elsevier as the official journal of Tianjin University该刊创刊于 2020 年，由爱思唯尔（Elsevier）出版，为天津大学官方期刊。
• Donghan Jin, president of Tianjin University and academician of the Chinese Academy of Engineering, was appointed founding Editor-in-Chief in October 2019, and the journal was expected to go online in early 2020（Donghan Jin）（天津大学校长、中国工程院院士）于 2019 年 10 月获聘为创办主编，该刊预计于 2020 年初正式上线。
• Kui Jiao of Tianjin University is the current Editor-in-Chief（Kui Jiao）（天津大学）为现任主编。
• It is a fully open access journal, with the article publishing charge rising from USD 1500 in 2020 to USD 3630 in 2025, and it has been listed in the Directory of Open Access Journals since 2020该刊为完全开放获取期刊，文章出版费由 2020 年的 1500 美元升至 2025 年的 3630 美元，自 2020 年起被（Directory of Open Access Journals）收录。
• It is indexed in the Emerging Sources Citation Index, Scopus and the Engineering Index, and in the 2025 Journal Citation Reports it holds the first quartile in Computer Science, Artificial Intelligence with a rank of 25 of 210 and in Energy and Fuels with a rank of 37 of 191该刊被（Emerging Sources Citation Index）、（Scopus）与（Engineering Index）收录，在 2025 年期刊引证报告中，其在计算机科学人工智能类位列第一四分位、于 210 种刊中排名第 25 位，在能源与燃料类同样位列第一四分位、于 191 种刊中排名第 37 位。
• Its first volume appeared in 2020 with a paper by Adrian Bejan on AI and freedom for evolution in energy science, and its Journal Impact Factor rose from 9.6 in 2024 to 9.7 in 2025其第 1 卷于 2020 年面世，含（Adrian Bejan）一篇关于人工智能与能源科学演化自由的论文，其影响因子由 2024 年的 9.6 升至 2025 年的 9.7。^[1]

Editors

• Kui Jiao, PhD, of Tianjin University, China, is the Editor-in-Chief, working on big data analytics, artificial intelligence, process modelling, machine learning, digital twins, fuel cells and hydrogen energy（Kui Jiao）博士（中国（Tianjin University））任主编，研究方向为大数据分析、人工智能、过程建模、机器学习、数字孪生、燃料电池与氢能。
• The Editors are Raffaella Ocone of Heriot-Watt University, United Kingdom, Jin Xuan of the University of Surrey, United Kingdom, and Qing Du of Tianjin University, China编辑为（Raffaella Ocone）（英国（Heriot-Watt University））、（Jin Xuan）（英国（University of Surrey））与（Qing Du）（中国（Tianjin University））。
• Associate Editors include Mingjia Li of Xi'an Jiaotong University, China, Tedjani Mesbahi of the National Institute of Applied Sciences of Strasbourg, France, Bowen Wang of Tianjin University, China, and Nada Zamel of the Fraunhofer Institute for Solar Energy Systems, Germany副编辑包括（Mingjia Li）（中国（Xi'an Jiaotong University））、（Tedjani Mesbahi）（法国（National Institute of Applied Sciences of Strasbourg））、（Bowen Wang）（中国（Tianjin University））与（Nada Zamel）（德国（Fraunhofer Institute for Solar Energy Systems））。
• The Editorial Board includes Adrian Bejan of Duke University, USA, Markus Kraft of the University of Cambridge, United Kingdom, Henrik Madsen of the Technical University of Denmark, and Zita A. Vale of the Polytechnic Institute of Porto, Portugal编辑委员会包括（Adrian Bejan）（美国（Duke University））、（Markus Kraft）（英国（University of Cambridge））、（Henrik Madsen）（丹麦（Technical University of Denmark））与（Zita A. Vale）（葡萄牙（Polytechnic Institute of Porto））。
• Board members also include Chung Law of Princeton University, USA, John McPhee of the University of Waterloo, Canada, Jiujun Zhang of Shanghai University, China, and Iryna Zenyuk of the University of California Irvine, USA编委还包括（Chung Law）（美国（Princeton University））、（John McPhee）（加拿大（University of Waterloo））、（Jiujun Zhang）（中国（Shanghai University））与（Iryna Zenyuk）（美国（University of California Irvine））。
• The board spans energy materials, fuel cells and batteries, hydrogen, combustion, power systems, smart grids, building energy and AI ethics across many countries编委会覆盖能源材料、燃料电池与电池、氢能、燃烧、电力系统、智能电网、建筑能耗与人工智能伦理等领域，成员来自多个国家。