Application and prospect analysis of artificial intelligence in the field of new energy in China

doi:10.19799/j.cnki.2095-4239.2024.0818

Energy Storage Science and Technology ›› 2024, Vol. 13 ›› Issue (10): 3619-3621.doi: 10.19799/j.cnki.2095-4239.2024.0818

• Energy Storage System and Engineering • Previous Articles Next Articles

Application and prospect analysis of artificial intelligence in the field of new energy in China

Miaomiao REN(), Xiaobin SHU

Luohe Vocationl College of Food, Luohe 462300, Henan, China

Received:2024-09-04 Revised:2024-09-23 Online:2024-10-28 Published:2024-10-30
Contact: Miaomiao REN E-mail:15518237277@163.com

Abstract

Abstract:

With the increasing global attention to environmental protection and sustainable development, the new energy industry is gradually becoming a new driving force for economic growth. The continuous development of artificial intelligence technology has led to its widespread application in the field of new energy. In this regard, the article analyzes and summarizes the application of artificial intelligence in the field of new energy in China, based on the actual situation of new energy development in China. The article first elaborates on the various applications of artificial intelligence in the field of new energy, including smart grid management, smart photovoltaic power generation systems, and smart energy storage systems. Then, it conducts a prospect analysis, including the current challenges and development prospects. Through this in-depth study, it can be determined that the combination of artificial intelligence and China's new energy field is closely related, and the mutual promotion of the two has broad development prospects.

Key words: new energy, photovoltaic power generation, power grid

CLC Number:

TM 911

Miaomiao REN, Xiaobin SHU. Application and prospect analysis of artificial intelligence in the field of new energy in China[J]. Energy Storage Science and Technology, 2024, 13(10): 3619-3621.

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Application and prospect analysis of artificial intelligence in the field of new energy in China

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