Research and application of artificial intelligence service platform for the power field

Peng Liu1, Wei Jiang2, Xiaohui Wang1, Hongmin Li1, Hongjian Sun3

1.China Electric Power Research Institute Co. Ltd., Beijing, 100192, P.R. China
2.State Grid Corporation of China, No. 86, West Chang'an Street, Xicheng District, Beijing, 100031, P.R. China
3.University of Durham, The Palatine Centre, Stockton Road, Durham, DH1 3LE, U.K.

Abstract

Conventional analysis methods cannot fully meet the business needs of power grids. At present, several artificial intelligence (AI) projects in a single business field are competing with each other, and the interfaces between the systems lack unified specifications. Therefore, it is imperative to establish a comprehensive service platform. In this paper, an AI platform framework for power fields is proposed; it adopts the deep learning technology to support natural language processing and computer vision services. On one hand, it can provide an algorithm, a model, and service support for power- enterprise applications, and on the other hand, it can provide a large number of heterogeneous data processing, algorithm libraries, intelligent services, model managements, typical application scenarios, and other services for different levels of business personnel. The establishment of the platform framework could break data barrier, improve portability of technology, avoid the investment waste caused by repeated constructions, and lay the foundation for the construction of “platform + application + service” ecological chain.

Keywords: Artificial intelligence platform, Deep learning, Neural network, Model training, Application scenarios.











 


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