气候变化领域集成服务门户(CCPortal): Big data-based mitigations for climate disasters by energy-mix strategy incorporated with artificial intelligence

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DOI	10.1504/IJGW.2024.138097
	Big data-based mitigations for climate disasters by energy-mix strategy incorporated with artificial intelligence
	Woo, Tae Ho
发表日期	2024
ISSN	1758-2083
EISSN	1758-2091
起始页码	33
结束页码	1
卷号	33 期号:1
英文摘要	Artificial intelligence (AI) has played an important role in the data analysis for climate disasters. A climate change data analysis is performed by a complex algorithm where there is data orchestration with cloud workflow and management, big data with volume, velocity and variety, and future gateway. The climate consequence is nearly oscillated during the designed period until the 100th month. The assessment values have zero in the 48th and 87th months when the simulations have the highest value. The algorithm in the AI-big data should be studied much more to apply to many areas including the climate matter.
英文关键词	climate; mitigation; disasters; energy; complex
语种	英语
WOS研究方向	Environmental Sciences & Ecology
WOS类目	Environmental Sciences
WOS记录号	WOS:001209989200005
来源期刊	INTERNATIONAL JOURNAL OF GLOBAL WARMING
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/289841
推荐引用方式 GB/T 7714	Woo, Tae Ho. Big data-based mitigations for climate disasters by energy-mix strategy incorporated with artificial intelligence[J],2024,33(1).
APA	Woo, Tae Ho.(2024).Big data-based mitigations for climate disasters by energy-mix strategy incorporated with artificial intelligence.INTERNATIONAL JOURNAL OF GLOBAL WARMING,33(1).
MLA	Woo, Tae Ho."Big data-based mitigations for climate disasters by energy-mix strategy incorporated with artificial intelligence".INTERNATIONAL JOURNAL OF GLOBAL WARMING 33.1(2024).

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