可再生能源
能源消耗
化石燃料
能源工程
环境经济学
生产(经济)
工程类
储能
消费(社会学)
可持续能源
全球变暖
环境科学
气候变化
废物管理
电气工程
经济
生态学
社会科学
社会学
生物
宏观经济学
功率(物理)
物理
量子力学
作者
Abdul Ghani Olabi,Mohammad Ali Abdelkareem,Hussam Jouhara
出处
期刊:Energy
[Elsevier]
日期:2023-05-01
卷期号:271: 126899-126899
被引量:13
标识
DOI:10.1016/j.energy.2023.126899
摘要
Increased consumption of fossil fuels has contributed to a rise in abnormal weather conditions. Utilizing renewable energy sources is one of the most effective methods for combating global warming. The intermittent nature of the majority of renewable energy sources could be mitigated through accurate weather forecasting and the integration of various renewable energy sources with energy storage systems. Artificial Intelligence (AI), digital twins, and other digital technologies have the potential to optimize energy production, storage, and consumption. Through these methods, the energy system can be made more efficient, manageable, and adaptable. This editorial discusses the energy digitalization in terms of prevalent technologies, potential applications, obstacles, and challenges. This editorial also discusses the research presented at the 13th International Conference on Sustainable Energy & Environmental Protection SEEP2021 at Boku University, Austria.
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