Recommendations for the development of data elements circulation in the energy industry based on digital intelligence fusion
As a data-intensive industry,the security and efficient circulation of data elements is particularly important.The development of artificial intelligence technology has played a role in the performance of data factor value,especially the emergence of large models has accelerated the digital transformation process of the entire industry.This article aims to explore the current status,problems and development recommendations of data elements in the energy industry under the integration of big data,artificial intelligence and other technologies,in order to provide a reference for the digital transformation of the energy industry.
energy industrydata elementartificial intelligencedigital transformation
万方数据
维普
