Artificial intelligence powered large-scale renewable integrations in multi-energy systems for carbon neutrality transition: Challenges and future perspectives
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,General Energy,Engineering (miscellaneous)
Reference171 articles.
1. Potential challenges of integrating large-scale wind energy into the power grid–a review;Shafiullah;Renew Sustain Energy Rev,2013
2. Passive and active phase change materials integrated building energy systems with advanced machine-learning based climate-adaptive designs, intelligent operations, uncertainty-based analysis and optimisations: a state-of-the-art review;Zhou;Renew Sustain Energy Rev,2020
3. Artificial neural network-based smart aerogel glazing in low-energy buildings: a state-of-the-art review;Zhou;iScience,2021
4. Energetics systems and artificial intelligence: applications of industry 4.0;Ahmad;Energy Rep,2022
5. Multi-objective optimisation of an interactive buildings-vehicles energy sharing network with high energy flexibility using the Pareto archive NSGA-II algorithm;Zhou;Energy Convers Manage,2020
Cited by 43 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Towards a carbon-neutral community: Integrated renewable energy systems (IRES)–sources, storage, optimization, challenges, strategies and opportunities;Journal of Energy Storage;2024-04
2. Measurement and simulation of voltage differences under ribs and channels and temperature variations within channels in PEMEC;Renewable Energy;2024-03
3. Conceptualizations of smart grids –anomalous and contradictory expert paradigms in transitions of the electricity system;Energy Research & Social Science;2024-03
4. Techno-enviro-socio-economic design and finite set model predictive current control of a grid-connected large-scale hybrid solar/wind energy system: A case study of Sokhna Industrial Zone, Egypt;Energy;2024-02
5. A Solar and Wind Energy Evaluation Methodology Using Artificial Intelligence Technologies;Energies;2024-01-15
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3