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Web of Proceedings - Francis Academic Press

Big Data and Cloud Computing Platform for Energy Internet Application

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DOI: 10.25236/icemit.2019.034

Author(s)

Zewu Peng, Bojian Wen, Jianwen Huang, Hanyang Xie, Lihao Wei, Zhanhui Xiao, Jiang Jiang, Rui Fu

Corresponding Author

Zewu Peng

Abstract

With the development of power grid, energy internet has become a popular and promising trend in electrical power industry. According to the deep merge of operational technology and internet information technology, the implementation of the next-generation cyber-physical systems has become the core message, shaping the future of energy industry. The growth of energy internet depends on the availability of high performance computing and analytics technology to process a massive amount of data set. In this paper, we have discussed two core techniques, which aims at supporting the growth of energy internet, big data and clouding computing. The focus of the techniques is the platform architecture that is particularly adaptive to handle a variety of characteristics of energy industry data. As a summarization, this paper proposes a solution for energy big data and IoT cloud computing platform. The application scenarios focus on the energy consumption monitoring and complementary operation of multi-form energy system that support all aspects within a data lifetime cycle, such as acquisition, storage, analytics, and visualization.

Keywords

MapReduce, Spark, Lambda Architecture, BaaS, Microservice Architecture, Complementary Operation of Multi-form Energy System