Open AccessResearch on Power Trading Platform Based on Big Data and Artificial Intelligence Technology
Author(s) -
Mei Yuan,
Yin Fang,
Jingwei Lv,
Shiqiang Zheng,
Zhiyi Zhou
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/486/1/012109
Subject(s) - cloud computing , computer science , big data , concurrency , database transaction , personalization , architecture , distributed computing , database , world wide web , operating system , art , visual arts
We achieve an integration of the power trading business with new technologies by rationalizing the convergence path of new technologies and transaction services. To realize the personalized customization of electricity market information services and form automated and flexible expansion capabilities, we build a new architecture of cloud-based power trading platform which establishes and applies power market big data resources, improving platform capacity and business application level. The architecture built in the article achieves the decentralization, real-time processing, high concurrency, high availability, easy maintenance, and convenience and efficiency of the power trading platform.